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Detail of Publication

Text Language English
Authors Kazuya NEGISHI, Masakazu IWAMURA, Shinichiro OMACHI, Hirotomo ASO
Title Isolated Character Recognition by Searching Features in Scene Images
Journal Proc. First International Workshop on Camera-Based Document Analysis and Recognition (CBDAR2005)
Pages pp.140-147
Reviewed or not Reviewed
Month & Year August 2005
Abstract Conventional segmentation technique cannot extract an isolated character and a touching character. In this paper, to utilize information of such characters, we propose a novel character recognition method based on extracting feature points and voting. The voting algorithm of the proposed method is similar to the generalized Hough transform. This method enables us to extract and recognize such troublesome characters in relatively shorter computational time. The effectiveness of the proposed method is confirmed by experiments.
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