Category Data Embedding for Camera-Based Character Recognition

LanguageJapanese
TypeJournal Articles
AuthorsSeiichi Uchida, Masakazu Iwamura, Shinichiro Omachi, Koichi Kise
TitleCategory Data Embedding for Camera-Based Character Recognition
JournalTrans. IEICE
Vol.J89-D
No.2
Pagespp.344-352
ReviewedReviewed
DateFebruary 2006
Research fieldsPattern recognition, Document Image Analysis
URLhttp://search.ieice.org/bin/summary.php?id=j89-d_2_344
KeyUchida2006_IEICE (id=375)

Abstract

In this paper, we propose a data embedding method for camera-based character recognition as easy and accurate as bar-code reading. Specifically, a horizontal stripe pattern, called cross ratio pattern, is embedded into a font image of a character category. Since the cross ratio obtained from the pattern is invariant to projective distortion, it always provides correct category candidates regardless of camera angle. Experimental results showed that (i) the cross ratio can be extracted from distorted character images with very high accuracy and thus (ii) the cross ratio can be used for enhancing recognition performance of conventional matching-based recognizers.

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