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
Location
Seoul, South Korea
Reviewed
Reviewed
Date
August 2005
Research fields
Pattern recognition, Document Image Analysis
Key
Negishi2005_CBDAR (id=370)
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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