Modified character-level deciphering algorithm for OCR in degraded documents

Chi Fang; Jonathan J. Hull

doi:10.1117/12.205843

30 March 1995 Modified character-level deciphering algorithm for OCR in degraded documents

Chi Fang, Jonathan J. Hull

Proceedings Volume 2422, Document Recognition II; (1995) https://doi.org/10.1117/12.205843
Event: IS&T/SPIE's Symposium on Electronic Imaging: Science and Technology, 1995, San Jose, CA, United States

Abstract

Modifications to a previous character-level deciphering algorithm for OCR are presented in this paper that are able to handle touching characters and are tolerant to mistakes made at the clustering stage. The objective of a character-level deciphering algorithm is to assign alphabetic identities to character patterns such that the character repetition pattern in an input text matches the letter repetition pattern provided by a language model. Degradation in document images usually causes the occurrence of touching characters and mistakes in clustering the character patterns, which pose difficulties for character-level deciphering algorithms. The modifications proposed in this paper tightly integrate visual constraints from characters and touching patterns with constraints from a language model to decode touching characters and to detect and reverse clustering mistakes. It provides a deciphering algorithm with robust performance under image degradation.

Citation Download Citation

Chi Fang and Jonathan J. Hull "Modified character-level deciphering algorithm for OCR in degraded documents", Proc. SPIE 2422, Document Recognition II, (30 March 1995); https://doi.org/10.1117/12.205843

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