WO2012175542A1 - Procédé et dispositif de création d'un ensemble de données de référence d'un document à partir d'un document - Google Patents
Procédé et dispositif de création d'un ensemble de données de référence d'un document à partir d'un document Download PDFInfo
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- WO2012175542A1 WO2012175542A1 PCT/EP2012/061800 EP2012061800W WO2012175542A1 WO 2012175542 A1 WO2012175542 A1 WO 2012175542A1 EP 2012061800 W EP2012061800 W EP 2012061800W WO 2012175542 A1 WO2012175542 A1 WO 2012175542A1
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07D—HANDLING OF COINS OR VALUABLE PAPERS, e.g. TESTING, SORTING BY DENOMINATIONS, COUNTING, DISPENSING, CHANGING OR DEPOSITING
- G07D7/00—Testing specially adapted to determine the identity or genuineness of valuable papers or for segregating those which are unacceptable, e.g. banknotes that are alien to a currency
- G07D7/06—Testing specially adapted to determine the identity or genuineness of valuable papers or for segregating those which are unacceptable, e.g. banknotes that are alien to a currency using wave or particle radiation
- G07D7/12—Visible light, infrared or ultraviolet radiation
Definitions
- the present invention relates to the field of document recognition. To check the authenticity of documents, such as
- security features include one or more feature sets.
- An example of such feature sets are optically detectable structures.
- At least one feature set is detected by means of a detection device, for example a document reader, and evaluated if necessary using previously known reference data.
- a detection device for example a document reader
- evaluation results may differ from the detection properties, such as
- the present invention is based on the finding that a more flexible concept for recognizing the authenticity of a document by decoupling the reference data from the properties used for document detection
- Detection devices such as document readers, can be realized.
- This decoupling can be effected by providing reference data which can be adapted to the characteristics of the respective detection device. For example, the resolution of the reference data can be reduced and adapted to the resolution of the respective detection device.
- the invention relates to a method for creating a
- Document reference record based on a document, the document having a first feature set and a second feature set, wherein the first
- Feature set is detectable using a first detection method
- the second feature set is detectable using a second detection method
- the method comprises the steps of: detecting the first feature set using the first detection method to obtain a first feature reference set; Detecting the second feature set using the second detection method to obtain a second feature reference set; Associating the first feature reference set with a page information indicative of a property of the first detection method to obtain a first feature reference data set of the document reference data set; and associating the detected second feature reference set with another
- the document reference record thus represents the document, which may be a reference document, and therefore may be used to verify the authenticity of another document, in particular the
- Document recognition are used.
- the document can have a plurality of different feature sets, which can each be detected by different detection methods.
- a detection method that can be used to detect an optically detectable feature set is, for example, an optical detection method.
- the document can be irradiated with radiation which comprises an optical wavelength range.
- the radiation re-emitted by the document is detected, for example, by means of a suitable detection device.
- the use of a single optical wavelength range may be provided.
- detection can also be based on taking a picture of the document, for example by means of a conventional digital camera.
- optical wavelength ranges are preferably different, i. she
- the wavelength ranges may, for example, overlap the following wavelength ranges: 1 nm to 380 nm, 380 nm to 780 nm or 780 nm to 1000 nm.
- Feature sets can be, for example, optical, electrical, magnetic or
- the first and second detection methods are preferably different, such that the first feature set is detectable only using the first detection method and that the second feature set is detectable only using the second detection method. If the first and the second detection method are, for example, optical detection methods, they can be used, for example, at different optical wavelengths or in
- an optical sensor can convert the incoming light originating, for example, from a reemission, into at least one electrical signal which represents a feature reference set and can be stored and further processed.
- reemission is understood in particular to be a re-radiation in response to an optical excitation.
- Reemission is a
- wavelength-preserving backscatter as well as, alternatively or in combination, a wavelength-modifying process such as luminescence - including fluorescence and / or phosphorescence - to understand, such as Stokes, Antistokes or Raman scattering.
- the optical detection can also be done by means of a laser.
- the electrical signal can already be in the form of a digital
- the feature reference sets can be used as comparison reference in the recognition of the authenticity of another document.
- the document may be one of the following documents, with or without electronics: identity document, such as identity card, passport, access control card,
- Authorization card company card or visa; Control character or ticket; birth certificate; Driver's license or vehicle pass; Banknote, check,
- Card body are joined together by means of gluing and / or lamination, wherein the films preferably have similar material properties.
- Feature sets for example, in the MRZ (Machine Readable Zone) of such a document, so they can be detected or recorded optically, for example by means of infrared detection or ultraviolet detection.
- MRZ Machine Readable Zone
- Feature set is detected by means of at least one detection device, the method comprising the step of calibrating the at least one detection device to a predetermined calibration standard value, in particular to at least one of the following preset calibration standard values: optical distortion, brightness curve,
- Modulation transfer function includes. This will normalize the
- the first feature set and the second feature set are detectable optically, in particular on the basis of the optical reemission, wherein the first feature set with the first detection method in a first optical
- Wavelength range is detected, and wherein the second feature set is detected with the second detection method in a second optical wavelength range, and wherein the first wavelength range and the second wavelength range are different and differ, for example, in one wavelength.
- the first feature set and the second feature set are electrically or magnetically or electromagnetically detectable, wherein the first
- Feature set with the first detection method and the second feature set with the second detection method electrically or magnetically or electromagnetically, in particular by reading from the document, are detected.
- Feature set with the second detection method is detected electrically or magnetically or electromagnetically, in particular by reading from the document.
- the wavelength range can be, for example, one of the wavelength ranges mentioned.
- the reading can be done, for example, using authenticity assurance
- the electrically readable data may be, for example, digital data representing the respective feature set.
- magnetic properties of one of the feature sets can be detected. Such magnetic properties can be generated for example by the use of a magnetic color for the respective feature set.
- electromagnetic detection for example, radio waves can be used, which emits the document.
- the page information comprises one or more of the following detection parameters: indication of the type of detection, wavelength range, magnification, acquisition resolution, acquisition color space, illumination parameter, exposure parameter, document type, detection location, acquisition time.
- the specification of the entry type can indicate whether the
- the wavelength range may be, for example, one of the aforementioned optical wavelength ranges.
- the magnification can indicate, for example, the scale with respect to the reference document of the respective feature set has been detected or in which magnification with respect to the reference document, the respective feature reference sentence is present.
- Detection resolution can for example provide information about the optical resolution with which the respective feature set was detected.
- Capture color space can indicate, for example, whether it is an RGB (red, green, blue) or another capture color space.
- the illumination parameter indicates, for example, which illuminance has been set during an optical detection of the respective feature set.
- the exposure parameter can be
- the document type may indicate whether the document is a passport, a banknote, or the like.
- the entry location indicates where the document was acquired or to which location or country the document is assigned.
- the collection time may specify the time at which the document was collected.
- the page information further gives a property of
- Document in particular a number of document pages, an indication of the authenticity of the document, document type, document structure, printing technology, color, printed text.
- authenticity of the document it can be specified, for example, whether the recorded document is genuine or false.
- documents can come from a knowledge database, which can be queried via a communications network, for example.
- these properties may also be entered by a user using default templates.
- the method comprises associating the first feature reference set with a first feature indication indicating at least one security property of the first feature reference set, and associating the second feature reference set with a second feature indication indicating at least one security property of the first feature reference set.
- the respective feature specification can be, for example, the position or the position of the respective feature set or a feature of the feature set, the relative position of feature sets with respect to each other, reissue properties of the feature sets, the type of feature set, for example a serial number or a
- the first feature reference data set and the second feature reference data set or the first feature reference set and the second feature reference set are stored in a lossless data format, in particular tagged image file format.
- the document reference record is in one
- the reference database may, for example, be reachable via a communications network, for example the Internet.
- the recorded document reference record is electronically and location independent
- the invention relates to a method for checking the authenticity of a document using a document reference data record, wherein the document has a first feature set and a second feature set, wherein the first feature set and the second feature set by
- a document reference record comprising a plurality of feature reference sets, each associated with different detection methods, the method comprising the steps of: detecting the first feature set using a particular detection method; Deploy the
- Feature reference sets to obtain a selected feature reference set; and comparing the detected first feature set with the selected one
- the document reference record may be one created by the method of creating a document reference record
- the document reference record further comprises a feature indication which is a security property of the selected one
- the processing includes the selected one
- Feature set reference to the selected feature reference set to the detected first feature set with respect to a property of the particular detection method, in particular with respect to an optical resolution or optical
- the method further comprises reading out the
- Comparison rule for comparing the detected first feature set with the selected feature reference set from a plurality of comparison rules.
- the invention relates to an apparatus for creating a document reference record for a document, the document having a first feature set and a second feature set, wherein the first feature set is detectable using a first detection method, the second feature set using a second detection method is detectable, and wherein the device comprises the following features: at least one
- Detecting means for detecting the first feature set using the first detection method to obtain a first feature reference set, and for detecting the second feature set using the second
- Detection method to obtain a second feature reference set; and a processor for associating the first feature reference set with a
- the invention relates to a computer program for
- Fig. 1 is a diagram of a method for creating a
- FIG. 3 is a block diagram of an apparatus for creating a
- FIG. 4 is a diagram of a method for checking the authenticity of a
- Fig. 5 is a diagram of a method for creating a
- Fig. 6 is a diagram of a method for creating a
- Fig. 7 page information according to one embodiment.
- Fig. 1 shows a diagram of a method for creating a
- Recording conditions such as in grazing or transmitted light, be detected.
- the method includes detecting 101 the first feature set using a first detection method to obtain a first feature reference set 102.
- the method further comprises detecting 103 the second feature set using a second detection method to obtain a second one
- the method further comprises associating 105 the first feature reference set 102 with a page information that is related to a property of the first
- the method further comprises the Link 107 of the second feature reference set 104 with another
- first and second feature sets 102, 104 are optically at different optical wavelengths by means of one or more optical ones
- the respectively detected light is converted into each case an electrical signal representing the detected light and the respective
- the feature reference sets can therefore be present as electrical signals, for example in the form of digital bit sequences, and for example each represent an optically detected image. The same applies to the electrical, magnetic or electromagnetic detection of the respective feature set.
- the feature reference sets 106, 108 thus obtained can therefore be stored electrically and processed with the aid of digital signal processing, in particular with the aid of digital image signal processing.
- the steps of detecting 101, 103 may be performed sequentially or simultaneously. If the document comprises more than two differently recordable feature sets, then the method illustrated in FIG.
- the respective page information can for example be digital, so that the
- Side information can be made, for example, by appending the respective page information to the respective feature reference record 102, 104 to the respective
- Feature reference data set 106, 108 The feature reference records 106, 108 form the document reference record 109.
- the respective page information preferably indicates a physical property of the respective detection method, whereby subsequent processing of the
- Feature reference sets 102, 104 for example, to adapt the
- Feature reference sets 102, 104 to physical properties for example
- the physical properties of the respective detection method are, for example, an optical wavelength range in which the respective detection method works or in which the respective feature set of the document is detectable, a detection scale, a detection resolution, a detection color space, an illumination parameter, an exposure parameter.
- the page information may further include an indication of
- Detection type to indicate whether the respective detection method, an optical, a magnetic, an electrical or an electromagnetic
- the page information may further indicate a property of the document, such as a number of document pages, a document type, a physical document structure, the one used
- the page information may further indicate whether the document on the basis of which the document reference record is generated is a genuine or a fake document.
- the method may additionally include associating 1 1 1 of the first feature reference set 102 with a first feature indication indicating at least one security property of the first feature reference set and linking 1 13 of the second feature reference set 104 with a second feature
- Indicates feature reference rate include.
- the steps of linking 1 1 1, 1 13 may be performed in parallel with the steps of linking 105, 107, before, or after.
- the feature details can be present in digital form, which makes it particularly easy to digitally link the feature details with digitally present feature sets, for example by attaching them to the respective feature set.
- the security properties can be, for example, those properties of the feature sets and thus also of the feature reference sets which have a
- the security properties can be, for example, positions (x, y), expansions (Lx, Ly) of the respective
- the feature details can also specify whether the respective feature set, ie also the respective feature reference set, is a machine-verifiable feature set is.
- the feature specifications can also specify the optical properties of the respective feature set. These include, for example, optical reemission properties of the respective feature set at different wavelengths.
- the feature specification may further indicate whether the respective feature reference sentence relates, for example, to a microprint having a predetermined content.
- the feature details can also specify the form and / or contents of certain areas of the document, in particular the MRZ of the document.
- Detected detecting means may include a step of calibrating 100 of the detection means or the detection means.
- Calibration 100 is preferably performed prior to detection 101, 103 of the respective feature set to calibrate the at least one detector to a calibration standard value. This ensures that the detectors used to create different document reference datasets always have the same physical detection characteristics, such as resolution or magnification. That way, one becomes
- calibration 100 Decoupling of the generated document reference data record 109 from the properties of a detection device, for example a test device, which is used to verify the authenticity of a document achieved.
- calibration 100 generates a reproducible database of high and defined quality that includes the recognizable physical document features in the form of the feature data sets. The calibration of at least one
- Detection device also allows the detection and processing of the stamped by the feature sets document properties without regard to the physical properties of, for example, later to be used document readers or test hardware. This makes it possible for the
- Document reference data set 109 which may be stored, for example, in a reference database to adapt to the properties of a test hardware without the document reference record 109 must be re-captured. This procedure is advantageous because, for example, distributed by the world
- the calibration of an optical system usually serves to check the achievement of predetermined quality values of this system or, by adjustment, to adapt its settings to such an extent that these quality values are fulfilled.
- the calibration on the one hand can ensure that captured feature reference data have a certain quality, and on the other hand determine which properties the captured images have in order to make these images normable are, ie in the knowledge of the errors of an existing document reader can be corrected to a defined state, are reproducible, ie from another document reader within the physical limits of this
- Normcular images can be derived, as they are the actual recorded images of any possible, so synonymous worse recording system with a
- Equalized images are important for measuring and assessing locations, directions, and distances from and between objects in the image.
- optical detectors often have an aberration that results in uneven brightness of the image. Frequently, such effects occur at the edges of the image. This error can be reduced by better lenses or compensated mathematically by loss of dynamics.
- a normalized image should have only a small inhomogeneity with respect to the illumination.
- Uniformity can be measured by means of charts having a uniform image of medium brightness. Often photo papers are used for this purpose, which are available over long periods of consistent quality. Homogenized images are important in order to be able to measure and assess the brightness and above all brightness differences of and between objects in the image.
- the optical sensor, the illumination and the lens of a detection device in their interaction lead to specific reproductions of colors in the image. These may differ from the reality perceived by the human eye and are regularly different from device type to device type, often also between different batches of the same device.
- Color fidelity measurements are usually made using charts that contain sections of a well-defined known color.
- Color fidelity is the identification and compensation of variations in color rendering of a color chart established in the industry.
- the processing of images from a sensor usually takes a picture of the raw data in a color space.
- Line pair templates on which horizontal or vertical bands of parallel lines of a certain distance are printed It is preferably measured, which contrast black-white transitions have at certain line intervals.
- contrast black-white transitions have at certain line intervals.
- a normalized reference image can have at least such a large and known resolution that the smallest structures to be examined are imaged sufficiently well. Examples of such objects are microfonts. It should be noted that the achievable resolution usually may be different for white light and IR images, if not the lens is corrected over a wider spectrum than normal or a light dependent adjustment, ie
- the detector may be calibrated, thereby ensuring that predetermined, by means of calibration standard values
- calibration may be performed periodically or periodically using defined geometric templates or color charts. In this way, it is ensured that the detected feature reference sets always have the same properties within defined deviations independently of the
- the creation of the document reference record can, for example, under
- the document reference record can be created automatically already during the production of a document.
- the former becomes representative
- Detecting the feature sets by means of, for example, a reference recording system, which is an example of a detection device, with a camera and a
- Lighting is provided.
- Fig. 2 shows a diagram of a method for creating a
- a program for recording and lighting control according to a document to be recorded is started by a user, for example.
- a predetermined Detection sequence with different detection methods and optionally a predetermined combination of lighting profiles are selected.
- the method comprises the step of requesting the user 203 to insert the document into a detection device, for example, in a specific orientation for the purpose of detection.
- the user can acknowledge this process, whereby the detection 205 of the document or one or more feature sets of the document is started.
- a detection device for example, in a specific orientation for the purpose of detection.
- Detection sequence are triggered, which includes, for example, each three shots in different optical wavelength ranges.
- steps of capturing 101 and capturing 103 illustrated in FIG. 1 are described
- the method further comprises the step of data input 207, which is preferably performed after completion of the acquisition sequence. This may prompt the user to enter data.
- data input 207 which is preferably performed after completion of the acquisition sequence. This may prompt the user to enter data.
- Further data may include, for example, one or more page information indicative of at least one property of the at least one capture method, such as capture type, illumination and exposure parameters.
- the data may also include information about the country, the type of document, the number of pages of the document, the location of the recording and the
- the data resulting from this step may be further processed in a file system in a unified and structured manner either as the document reference record or for further processing to create a document reference record with even more additional information in the step of further processing 209.
- side information and / or feature information which one or more
- Specify the security properties of the document or the recorded characteristic records be specified.
- the features of the document such as the printing technique used, the micro-font or the
- Recording which is represented by a feature reference sentence, be identified.
- the user is guided by the program in a structured way.
- the detection of the feature sets can be done for example by machine or manually by the user. For example, during manual entry, the user can select the respective feature set and all other properties from templates.
- the user can select the respective feature set and all other properties from templates.
- the frequency and the association with or dependence on other feature sets can be detected.
- the frequency and association with or pendency of other feature sets may be captured.
- Some feature sets created in the same step in production may be in the same position relative to each other.
- feature sets introduced in different steps can cause larger deviations in the relative position to each other. So z. For example, if the feature set "Serial Number" is high pressure and is not UV reactive, then that feature set will disappear on exposure to UV light.
- the user may add new feature sets, but may also add old feature sets Recognize their position and characteristics and correlate the data with other documents already collected, for example of the same type, so that statements about the variance of individual feature sets can be obtained, which in turn can be incorporated into the process flow.
- Feature sets that require detail capture or further physical measurements may also be marked separately. Examples of such
- Feature sets are the collection of micro-typefaces and the inclusion of
- the virtual document recorded in this way can be stored in a database.
- the virtual documents preferably always have a comparable quality and can, in addition to a use as a reference book, due to the generic description of the document characteristics, regardless of the implementation of a
- Such a document reader may have, for example, only a low resolution camera and only white light illumination.
- the data of the virtual document is transformed appropriately for this system. This means that all features that are not testable in white light or their
- Travel documents is beneficial because they are not always available.
- their collection is complex for the use of their properties in computer systems, the study and description of their characteristics often requires expert knowledge. For this reason, it is advantageous that once collected data for the following generations of document readers whose properties are not known today, are usable.
- the data of the virtual document with regard to the color space to be displayed be adjusted.
- suitable visualizations can be created.
- Defining defined workflows ensures that the same acquisitions, such as recordings, are always recorded for similar documents. Further, identical documents may be generated at any time after completion of the process shown in FIG. 2 for identical documents. In addition, it is possible to consider non-optical data in the acquisition processes. If the document is equipped, for example, with RFI D components, the acquisition of the electronically stored feature sets, which are available as data, and optionally the physical and protocol properties of the electronic part of the document can take place.
- Fig. 3 shows a block diagram of an apparatus for creating a
- the apparatus 300 includes at least one detecting means 301 for detecting a first feature set using a first detecting method to obtain a first feature reference set and detecting a second feature set of the plurality of feature sets using a second detecting method to obtain a second feature reference set.
- the apparatus 300 further includes a processor 303 configured to associate the first feature reference set with a page information that corresponds to a property of the first
- the processor 303 is further configured to associate the detected second feature reference set with another page information indicative of a property of the second detection method to obtain a second feature reference data set of the document reference data set.
- the device 300 shown in FIG. 3 may be designed to implement the method described above.
- the processor 303 can be set up, for example, in terms of programming technology and the steps 105, 107, 11, and 1 shown in FIG 1 13 execute.
- the processor can also be designed to carry out the steps 201 - 209 shown in FIG. 2 and / or their sub-steps in order to assist a user in the case of
- the processor 303 may be designed, the detection device 301 accordingly
- Detection device 301 comprises a plurality of detection devices, which are each provided to perform a specific detection method, for example an optical, an electrical, a magnetic or an electromagnetic detection method.
- Document based on a document reference data set which may include a plurality of feature reference sets.
- the document reference record may have been generated as stated above.
- the document may include a first feature set and a second feature set that may be captured, for example, by different detection methods as described above.
- the method comprises detecting 401 a feature set of
- Feature sets of the document for example, the first feature set by means of a detection method, which may be, for example, optical, electrical, magnetic or electromagnetic.
- the detection method can by means of a
- Detection device are performed.
- the method further comprises providing 403 the document reference record, for example by reading from a reference database.
- a document reference record includes a plurality of
- step 405 Verification of the authenticity of the document is not needed. This is the case, for example, when the document reference record has feature reference sets associated with detection methods different from the detection method used in step 401. In step 405, therefore, becomes
- the feature reference set is selected from the plurality of feature reference sets associated with the detection method used in step 401.
- the unneeded feature sets can therefore be hidden or removed from the
- the feature set acquired in step 401 is selected with the selected one
- Feature reference rate for example, a resolution or a scaling of a magnification which is based on the feature reference theorem can be adapted.
- the processing 409 of the feature reference set may be performed after the step of selecting 405 and before the step of comparing 407.
- Fig. 5 illustrates the creation of a document reference record and the use of the document reference record for document identification.
- the document reference record is generated from a document 501 having a first feature set 503 and a second feature set 505.
- the feature sets 503 and 505 become, for example, in one
- Feature reference sets 507 in the form of raw data are linked to page information and feature information, respectively, as discussed above.
- the page information or the feature information can be retrieved, for example, from a knowledge base 51 1.
- a communication connection can be established via a communication network.
- the document reference record is provided in step 513.
- the document reference data record can be stored, for example, in a reference database and retrieved, for example via a
- the document reference record thus created can be used, for example, for the
- Document recognition using different detection devices for example when using a document reader 517 or below
- the document reference data set can be adapted for each of the document readers 517, 519 respectively first in the step of processing 521, 523 to the properties of each detected with the respective document reader 517, 519 feature set, whereby in each case a reference 525, 527 for the respective document reader 517, 519 for example, in a reference database.
- the processing of the document reference data set may include, for example, an adaptation of an optical resolution or an optical magnification or a color space to the characteristics or to the properties of the respective document reading device 517, 519.
- the document reference record can also be adapted in a step of processing 529 to previously known properties of at least one document reader and stored in a customer database 531. In general, in step 507, the physical
- Document properties of a document by means of the detection device are detected.
- feature reference sets are detected, which can be stored from raw data in step 507, for example in a memory.
- step 509 a preparation of this raw data is under
- the document reference record can thus be the
- metrologically obtained data and their linking and editing include, which can be carried out using the knowledge base 51 1.
- no references to special purpose test tools for document recognition are included in the knowledge base.
- steps 521, 523 and 529 the document reference data record is processed and thus adapted for the respective target application.
- the data in the steps 521, 523, 529 which may be carried out by means of an adapter, on the
- Document Reference Record can also be stored without a document reader in the customer database 531 and used, for example, as a reference.
- Page information that the document reference record can provide as outlined above and which may be a more accurate one
- Document reader 517, 519 for example, digitally using
- Processing algorithms take place. Such processing algorithms can For example, a resolution of the respective
- FIG. 6 shows an extension of the exemplary embodiment shown in FIG. 5 around an algorithm database 601 with, for example, a multiplicity of processing algorithms that can be used to process the document reference data record.
- an algorithm database 601 with, for example, a multiplicity of processing algorithms that can be used to process the document reference data record.
- suitable ones can be provided by the customer
- Algorithms are retrieved over the communication network or via the distributor 602 to properly process the document reference record.
- a feedback 603 may be provided to, for example, the
- the feature reference record for example a stored image
- the detected feature set for example with the image of the document currently to be recognized.
- the data fields for example, using the OCR method (Optical Character Recognition), read out. If there is a mismatch, another stored document reference record is advanced until a matching document reference record is found.
- OCR method Optical Character Recognition
- the document recognition can, for example, begin with the reading out of the complex and rich feature reference sets, which can be computationally adapted to the performance of a document reader used as an example for document recognition. For example, if a predetermined document reader is only capable of using white light or infrared light, with a resolution of one megapixel, i. with a lower resolution than that of
- FIG. 7 shows a sequence of linking a feature reference set with side information or with
- the feature reference set may be linked to a page information that is related to a document type, such as passport, ID card,
- step 703 becomes
- the size of the document can be specified, which can be standardized to one of the variables ID1, ID2, ID3, for example.
- further information about the size of the document can be specified, which can be standardized to one of the variables ID1, ID2, ID3, for example.
- information about the surface material may be given in step 707.
- This information includes, for example, the substrate, the indication of whether it is a laminated security, whether it is a security, polycarbonate, banknote paper.
- the number of pages may be indicated, such as the total number of pages, the total number of pages without a page of data, or the number of personalized pages.
- step 71 information about the surface of the first page or the front can be made.
- This information includes the printing technique, the printed text, the
- step 713 information about the surface of the first side and the back side may be given in step 713. This information may include the information from step 71 1.
- the printing material can also be the color of the
- Substrate such as green, blue or red
- different numbers of pages may be indicated associated with the respective color of the printing stock.
- the passport has a total of 33 pages or that the passport comprises 26 pass pages or that the passport comprises two personalized pages.
- knowledge is structured in such a way as to capture knowledge of a document in such a way that, for example, it can last for a period of validity of an entire document series.
- Security features may include a tester according to a
- Embodiment be equipped with specific knowledge of these document-specific features. For example, travel documents may be required to be printed on a UV-active paper, called document paper. However, some documents may be more UV-active
- a test for the use of document paper can therefore be more accurate the more detailed the area in which the document responds to UV irradiation is detected.
- the applied UV pattern can also be used for an examination.
- Document recognition device as shown for example in Fig. 3, to be updated.
- a further advantage of the described concept is that one and the same document reference data record can be used for a plurality of different document recognition devices with different detection devices.
- a further advantage of the above-described concept is given by the fact that a simple detection device can also be used for document recognition because it is always possible to select that feature reference set which can also be used for document recognition.
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- Editing Of Facsimile Originals (AREA)
Abstract
L'invention concerne un procédé de création d'un ensemble de données de référence (109) pour un document, le document présentant un premier ensemble de caractéristiques et un deuxième ensemble de caractéristiques, le premier ensemble de caractéristiques pouvant être saisi au moyen d'un premier procédé de saisie, le deuxième ensemble de caractéristiques pouvant être saisi au moyen d'un deuxième procédé de saisie. Le procédé comporte les caractéristiques suivantes : saisie (101) du premier ensemble de caractéristiques par le premier procédé de saisie afin d'obtenir un premier ensemble de caractéristiques de référence (102), saisie (103) du deuxième ensemble de caractéristiques par le deuxième procédé de saisie pour obtenir un deuxième ensemble de caractéristiques de référence (104), association (105) du premier ensemble de caractéristiques (102) à une information latérale indiquant une propriété du premier procédé de saisie, afin d'obtenir un premier ensemble de données caractéristique de référence (106) de l'ensemble de données de référence du document (109), et association (113) du deuxième ensemble de caractéristiques de référence (104) à une autre information latérale indiquant une propriété du deuxième procédé de saisie, afin d'obtenir un deuxième ensemble de données caractéristique (108) de l'ensemble de données de référence du document (109).
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| EP12733444.9A EP2724323B1 (fr) | 2011-06-21 | 2012-06-20 | Procédé et dispositif de création d'un ensemble de données de référence d'un document à partir d'un document |
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| DE102011077895A DE102011077895A1 (de) | 2011-06-21 | 2011-06-21 | Verfahren und Vorrichtung zum Erstellen eines Dokumentenreferenzdatensatzes anhand eines Dokumentes |
| DE102011077895.0 | 2011-06-21 |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| WO2012175542A1 true WO2012175542A1 (fr) | 2012-12-27 |
Family
ID=46489186
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| PCT/EP2012/061800 Ceased WO2012175542A1 (fr) | 2011-06-21 | 2012-06-20 | Procédé et dispositif de création d'un ensemble de données de référence d'un document à partir d'un document |
Country Status (3)
| Country | Link |
|---|---|
| EP (1) | EP2724323B1 (fr) |
| DE (1) | DE102011077895A1 (fr) |
| WO (1) | WO2012175542A1 (fr) |
Families Citing this family (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE102015113665A1 (de) * | 2015-08-18 | 2017-02-23 | Bundesdruckerei Gmbh | Dokumentenprüfgerät zum Überprüfen der Echtheit eines Dokumentes |
| DE102016117063A1 (de) * | 2016-09-12 | 2018-03-15 | Tailorlux Gmbh | Verfahren zur Authentifizierung von Gegenständen |
| CN108510003A (zh) * | 2018-03-30 | 2018-09-07 | 深圳广联赛讯有限公司 | 车联网大数据风控组合特征提取方法、装置及存储介质 |
| DE102023127343A1 (de) * | 2023-10-06 | 2025-04-10 | Chromasens Gmbh | Verfahren zum Erstellen einer Datenbank für Dokumentenklassen und Verfahren zum Abtasten und Verarbeiten eines Dokumentes sowie eine Vorrichtung zum Ausführen dieser Verfahren |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| GB2272861A (en) * | 1992-11-28 | 1994-06-01 | Univ Cardiff | Apparatus for reading security documents bearing photochromic or thermochromic prints. |
| US6163618A (en) * | 1997-11-21 | 2000-12-19 | Fujitsu Limited | Paper discriminating apparatus |
| DE10234431A1 (de) * | 2002-07-29 | 2004-02-12 | Giesecke & Devrient Gmbh | Vorrichtung und Verfahren zur Bearbeitung von Wertdokumenten |
| EP1519327A2 (fr) * | 2003-09-26 | 2005-03-30 | Aruze Corp. | Senseur de discrimination et machine de discrimination |
| EP1783698A2 (fr) * | 2005-10-07 | 2007-05-09 | Hitachi-Omron Terminal Solutions, Corp. | Système et procédé pour traiter des feuilles |
| DE102006053788A1 (de) * | 2006-11-15 | 2008-05-21 | Giesecke & Devrient Gmbh | Verfahren zur Erkennung von Verschmutzungen im Bereich von Farbübergängen auf Wertdokumenten und Mittel zur Durchführung des Verfahrens |
Family Cites Families (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE10151854A1 (de) * | 2001-10-24 | 2003-05-08 | Giesecke & Devrient Gmbh | Wertdokumentbearbeitungsvorrichtung, Verfahren zur Funktionsprüfung, Justierung und/oder Kalibrierung der Wertdokumentbearbeitungsvorrichtung und Testmedien zur Durchführung des Verfahrens |
| DE10239226A1 (de) * | 2002-08-27 | 2004-03-04 | Giesecke & Devrient Gmbh | Vorrichtung und Verfahren für die Prüfung von Banknoten |
| EP1575002A1 (fr) * | 2004-03-11 | 2005-09-14 | De La Rue International Limited | Simulation de billets de banque |
| DE102004045169A1 (de) * | 2004-09-17 | 2006-03-23 | Giesecke & Devrient Gmbh | Verfahren für Entwurf und Prüfung von Wertpapieren |
| JP2007172059A (ja) * | 2005-12-19 | 2007-07-05 | Toshiba Corp | 紙葉類判別装置、および紙葉類処理装置 |
-
2011
- 2011-06-21 DE DE102011077895A patent/DE102011077895A1/de not_active Withdrawn
-
2012
- 2012-06-20 EP EP12733444.9A patent/EP2724323B1/fr active Active
- 2012-06-20 WO PCT/EP2012/061800 patent/WO2012175542A1/fr not_active Ceased
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| GB2272861A (en) * | 1992-11-28 | 1994-06-01 | Univ Cardiff | Apparatus for reading security documents bearing photochromic or thermochromic prints. |
| US6163618A (en) * | 1997-11-21 | 2000-12-19 | Fujitsu Limited | Paper discriminating apparatus |
| DE10234431A1 (de) * | 2002-07-29 | 2004-02-12 | Giesecke & Devrient Gmbh | Vorrichtung und Verfahren zur Bearbeitung von Wertdokumenten |
| EP1519327A2 (fr) * | 2003-09-26 | 2005-03-30 | Aruze Corp. | Senseur de discrimination et machine de discrimination |
| EP1783698A2 (fr) * | 2005-10-07 | 2007-05-09 | Hitachi-Omron Terminal Solutions, Corp. | Système et procédé pour traiter des feuilles |
| DE102006053788A1 (de) * | 2006-11-15 | 2008-05-21 | Giesecke & Devrient Gmbh | Verfahren zur Erkennung von Verschmutzungen im Bereich von Farbübergängen auf Wertdokumenten und Mittel zur Durchführung des Verfahrens |
Also Published As
| Publication number | Publication date |
|---|---|
| EP2724323B1 (fr) | 2018-11-07 |
| DE102011077895A1 (de) | 2012-12-27 |
| EP2724323A1 (fr) | 2014-04-30 |
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