Morphological approach to character recognition in machine-printed Persian words

Bijan Timsari; Hamid Fahimi

doi:10.1117/12.234724

7 March 1996 Morphological approach to character recognition in machine-printed Persian words

Bijan Timsari, Hamid Fahimi

Proceedings Volume 2660, Document Recognition III; (1996) https://doi.org/10.1117/12.234724
Event: Electronic Imaging: Science and Technology, 1996, San Jose, CA, United States

Abstract

Based on the capabilities of morphological operators in extracting shape features, a new method for character recognition in Persian machine printed documents is introduced. Given the image of a printed character is available with high enough SNR such that its regular shape is preserved, some common primitive patterns can always be found after thinning different images of a single character. This property has inspired the development of our morphological processing in which the hit-or-miss operator is used to determine which patterns exist or do not exist in the input images of the recognition system. All the required processing before feature extraction including image enhancement, segmentation, and thinning are also performed using the hit-or-miss operator. Having the input words described in terms of some pre-defined patterns, the system knowledge base, holding descriptions for all characters, is searched for possible matches. Finding a match ends in the recognition of a character. This approach is proved to be fast and reliable in practice.

Citation Download Citation

Bijan Timsari and Hamid Fahimi "Morphological approach to character recognition in machine-printed Persian words", Proc. SPIE 2660, Document Recognition III, (7 March 1996); https://doi.org/10.1117/12.234724

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