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Thongkanchorn et al., 2019 - Google Patents

Thai character segmentation in handwriting images using four directional depth first search

Thongkanchorn et al., 2019

Document ID
7169549286648436142
Author
Thongkanchorn K
Kanchanapreechakorn S
Borwarnginn P
Kusakunniran W
Publication year
Publication venue
2019 11th International Conference on Information Technology and Electrical Engineering (ICITEE)

External Links

Snippet

One of the key processes for converting handwriting images into digital texts is the character segmentation. It is very challenge especially for the case of segmenting the hand-writing due to intra-variations of various writing styles and overlapping of characters between …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

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    • G06K9/20Image acquisition
    • G06K9/34Segmentation of touching or overlapping patterns in the image field
    • G06K9/342Cutting or merging image elements, e.g. region growing, watershed, clustering-based techniques
    • GPHYSICS
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    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/68Methods 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
    • G06K9/6807Dividing the references in groups prior to recognition, the recognition taking place in steps; Selecting relevant dictionaries
    • G06K9/6814Dividing the references in groups prior to recognition, the recognition taking place in steps; Selecting relevant dictionaries according to the graphical properties
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    • G06K9/20Image acquisition
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    • G06K9/348Segmentation of touching or overlapping patterns in the image field using character size, text spacings, pitch estimation
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    • G06K9/344Segmentation of touching or overlapping patterns in the image field using recognition of characters or words
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    • G06K9/2072Selective 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
    • GPHYSICS
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    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00442Document analysis and understanding; Document recognition
    • G06K9/00463Document 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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    • GPHYSICS
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    • G06F17/28Processing or translating of natural language
    • G06F17/2863Processing of non-latin text

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