{"title":"Automatic seal imprint verification system for bank check processing","authors":"K. Ueda, Ken'ichi Matsuo","doi":"10.1109/ICITA.2005.81","DOIUrl":null,"url":null,"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 rate 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\".","PeriodicalId":371528,"journal":{"name":"Third International Conference on Information Technology and Applications (ICITA'05)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"22","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Third International Conference on Information Technology and Applications (ICITA'05)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICITA.2005.81","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 22
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 rate 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".