{"title":"一种高速彩色支票图像采集与处理系统","authors":"S. Wesolkowski, P. Bowman, David Tunnah","doi":"10.1109/CCECE.1998.682783","DOIUrl":null,"url":null,"abstract":"This paper describes a potential implementation of a high speed colour cheque image processing system. The description starts with the overall architecture of a colour image capture system. The system's image processing capabilities include gray balancing, colour space conversion, colour image binarization to segment the text from the background and could include in the future cheque amount recognition from the binary image. An original algorithm based on colour clustering is introduced to improve the image binarization process. To test various components of the system, a prototype colour image capture system was built. Initial results on image binarization are shown.","PeriodicalId":177613,"journal":{"name":"Conference Proceedings. IEEE Canadian Conference on Electrical and Computer Engineering (Cat. No.98TH8341)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1998-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"A high speed colour cheque image capture and processing system\",\"authors\":\"S. Wesolkowski, P. Bowman, David Tunnah\",\"doi\":\"10.1109/CCECE.1998.682783\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper describes a potential implementation of a high speed colour cheque image processing system. The description starts with the overall architecture of a colour image capture system. The system's image processing capabilities include gray balancing, colour space conversion, colour image binarization to segment the text from the background and could include in the future cheque amount recognition from the binary image. An original algorithm based on colour clustering is introduced to improve the image binarization process. To test various components of the system, a prototype colour image capture system was built. Initial results on image binarization are shown.\",\"PeriodicalId\":177613,\"journal\":{\"name\":\"Conference Proceedings. IEEE Canadian Conference on Electrical and Computer Engineering (Cat. No.98TH8341)\",\"volume\":\"27 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1998-05-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Conference Proceedings. IEEE Canadian Conference on Electrical and Computer Engineering (Cat. No.98TH8341)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCECE.1998.682783\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Conference Proceedings. IEEE Canadian Conference on Electrical and Computer Engineering (Cat. No.98TH8341)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCECE.1998.682783","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A high speed colour cheque image capture and processing system
This paper describes a potential implementation of a high speed colour cheque image processing system. The description starts with the overall architecture of a colour image capture system. The system's image processing capabilities include gray balancing, colour space conversion, colour image binarization to segment the text from the background and could include in the future cheque amount recognition from the binary image. An original algorithm based on colour clustering is introduced to improve the image binarization process. To test various components of the system, a prototype colour image capture system was built. Initial results on image binarization are shown.