Hillerstrom et al., 2015 - Google Patents
Introduction to biometrics-Iris RecognitionHillerstrom et al., 2015
View PDF- Document ID
- 14538952078266512369
- Author
- Hillerstrom F
- Koornwinder B
- Overbeek L
- van der Velden S
- Publication year
- Publication venue
- University of Twente Students Journal of Biometrics and Computer Vision
External Links
Snippet
In this report an iris detection system will be designed, programmed and tested. It starts off by discussing the current state of biometric systems and how they are graded. It then goes on to introduce the various steps which are taken in iris detection and which variations are …
- 238000000034 method 0 abstract description 87
Classifications
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- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/68—Methods or arrangements for recognition using electronic means using sequential comparisons of the image signals with a plurality of references in which the sequence of the image signals or the references is relevant, e.g. addressable memory
- G06K9/6807—Dividing the references in groups prior to recognition, the recognition taking place in steps; Selecting relevant dictionaries
- G06K9/6842—Dividing the references in groups prior to recognition, the recognition taking place in steps; Selecting relevant dictionaries according to the linguistic properties, e.g. English, German
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- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6288—Fusion techniques, i.e. combining data from various sources, e.g. sensor fusion
- G06K9/6292—Fusion techniques, i.e. combining data from various sources, e.g. sensor fusion of classification results, e.g. of classification results related to same input data
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- G06K9/6255—Determining representative reference patterns, e.g. averaging or distorting patterns; Generating dictionaries, e.g. user dictionaries
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- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
- G06K9/6232—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods
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- G06K9/00281—Local features and components; Facial parts ; Occluding parts, e.g. glasses; Geometrical relationships
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- G06K9/03—Detection or correction of errors, e.g. by rescanning the pattern
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