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Strouthopoulos et al., 1999 - Google Patents

PLA using RLSA and a neural network

Strouthopoulos et al., 1999

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Document ID
18373418445487190601
Author
Strouthopoulos C
Papamarkos N
Chamzas C
Publication year
Publication venue
Engineering Applications of Artificial Intelligence

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Snippet

This paper describes a new method for document page layout analysis. The proposed approach is based on the use of the run-length smoothing algorithm (RLSA) and a neural network block classified (NNBC). The RLSA is used locally and globally for the block …
Continue reading at dsp.ee.duth.gr (PDF) (other versions)

Classifications

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    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • 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
    • G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/20—Image acquisition
    • G06K9/32—Aligning or centering of the image pick-up or image-field
    • G06K9/3233—Determination of region of interest
    • G—PHYSICS
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    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
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    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6201—Matching; Proximity measures
    • G06K9/6202—Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
    • G—PHYSICS
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    • G06K9/20—Image acquisition
    • G06K9/2054—Selective acquisition/locating/processing of specific regions, e.g. highlighted text, fiducial marks, predetermined fields, document type identification
    • G06K9/2072—Selective acquisition/locating/processing of specific regions, e.g. highlighted text, fiducial marks, predetermined fields, document type identification based on positionally close symbols, e.g. amount sign or URL-specific characters
    • G—PHYSICS
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    • G06K9/46—Extraction of features or characteristics of the image
    • G06K9/52—Extraction of features or characteristics of the image by deriving mathematical or geometrical properties from the whole image
    • G06K9/527—Scale-space domain transformation, e.g. with wavelet analysis
    • G—PHYSICS
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    • G—PHYSICS
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    • G06K9/00442—Document analysis and understanding; Document recognition
    • G06K9/00463—Document analysis by extracting the geometrical structure, e.g. layout tree; Block segmentation, e.g. bounding boxes for graphics, paragraphs, words or letters
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    • G06K9/00442—Document analysis and understanding; Document recognition
    • G06K9/00456—Classification of image contents, e.g. text, photographs, tables
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    • G06K9/00221—Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
    • G—PHYSICS
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    • G06K15/02—Arrangements for producing a permanent visual presentation of the output data, e.g. computer output printers using printers
    • G06K15/18—Conditioning data for presenting it to the physical printing elements
    • G06K15/1848—Generation of the printable image
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis

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