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Pourreza et al., 2018 - Google Patents

Sub-word based Persian OCR using auto-encoder features and cascade classifier

Pourreza et al., 2018

Document ID
6478894055706613497
Author
Pourreza M
Derakhshan R
Fayyazi H
Sabokrou M
Publication year
Publication venue
2018 9th International Symposium on Telecommunications (IST)

External Links

Snippet

In Persian text, unlike English, the letters are stick together and their shapes varies depending on where they are in the word. This makes it difficult to distinguish letters in Persian OCR. One way to overcome this problem is to recognize the sub-words, not the …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

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    • 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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