Abstract
In this paper, we propose a multi-expert seal imprint verification system. The system has been specifically designed for applications in the Japanese bank check processing. A difficult problem encountered in automatic seal imprint verification is that the system is required an extremely low error despite of using a small number of reference data for training. To conquer this problem, it combines two different algorithms for seal imprint verification. A seal imprint is first extracted from bank check image based on color features. The first verification algorithm is based on a method using local and global features of seal imprint. The second algorithm uses a special correlation based on a global approach. The two algorithms are combined in the multi-expert system by a voting strategy. Experimental results showed that the combination of the two algorithms improves significantly the verification performance both on false-acceptance error rate and false-rejection error rate.
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