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A new distinguishing algorithm of connected character image based on Fourier transform

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3 Author(s)
Xiaoyan Zhu ; Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing, China ; Yifan Shi ; Song Wang

Segmentation is the most difficult problem in a handwritten character recognition system and often contributes major errors to its performance. To reach a balance of speed and accuracy, a filter distinguishing a connected image from an isolated image is required for multi-stage segmentation. The Fourier spectrum is promising in this problem. Since it is influenced by the stroke width, we propose a Fourier spectrum standardization method. Based on the standardized Fourier spectrum, a set of features and a fine-tuned criterion are presented to classify connected/isolated images. A theoretical analysis proves their rationality. Experimental results demonstrate that this criterion is better than other methods

Published in:

Document Analysis and Recognition, 1999. ICDAR '99. Proceedings of the Fifth International Conference on

Date of Conference:

20-22 Sep 1999