On-Line Japanese Character Recognition Based on Flexible Pattern Matching Method Using Normalization-Cooperative Feature Extraction

Masahiko HAMANAKA  Keiji YAMADA  Jun TSUKUMO  

Publication
IEICE TRANSACTIONS on Information and Systems   Vol.E77-D   No.7   pp.825-831
Publication Date: 1994/07/25
Online ISSN: 
DOI: 
Print ISSN: 0916-8532
Type of Manuscript: Special Section PAPER (Special Issue on Document Analysis and Recognition)
Category: 
Keyword: 
pattern recognition,  on-line character recognition,  OCR,  feature extraction,  pattern matching,  normalization,  

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Summary: 
This paper shows that when a pattern matching method used in optical character readers is highly accurate, it can be used effectively in on-line Japanese character recognition. Stroke matching methods used in previous conventional on-line character recognition have restricted the number and the order of strokes. On the other hand, orientation-feature pattern matching methods avoid these restrictions. The authors have improved a pattern matching method with the development in the flexible pattern matching (FPM) method, based on nonlinear shape normalization and nonlinear pattern matching, which includes the normalization-cooperative feature extraction (NCFE) method. These improvements have increased the recognition rate from 81.9% to 95.9%, when applied to the off-line database ETL-9 from the Electrotechnical Laboratory, Japan. When applied on-line to the examination of 151,533 Kanji and Hiragana characters in 3,036 categories, the recognition rate achieved 94.0%, while the cumulative recognition rate within the best ten candidates was 99.1%.