Multi-expert Seal Imprint Verification System for Bankcheck Processing
A dificult problem encountered in automatic seal imprint verification is that the system is required an extremely low error rate despite of the variety of seal imprint quality. To conquer this problem, we propose a multi-expert seal imprint verification system, which combines two different verification algorithms. The first verification algorithm is based on a method using local and global features of seal imprint. The second one uses a special correlation method based on a global approach. The two algorithms are combined 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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