{"title":"哥伦比亚DNIs的自动OCR系统","authors":"C. Isaza, J. Vargas, C. Gaviria, L. Hernández","doi":"10.1109/STSIVA.2012.6340598","DOIUrl":null,"url":null,"abstract":"In this article, a system that allows optical recognition of characters in the Colombian national identity card is presented. The system is shaped by an image acquisition algorithm, by running drivers over Windows, working together with a methodology that does OCR by eliminating of the holographic background that is the mean trouble in this problem. Performance of this methodology was measured through testing with a data base of 34 identity cards. A 92.6% of success in character recognition was obtained.","PeriodicalId":383297,"journal":{"name":"2012 XVII Symposium of Image, Signal Processing, and Artificial Vision (STSIVA)","volume":"231 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Automatic OCR system for colombian DNIs\",\"authors\":\"C. Isaza, J. Vargas, C. Gaviria, L. Hernández\",\"doi\":\"10.1109/STSIVA.2012.6340598\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this article, a system that allows optical recognition of characters in the Colombian national identity card is presented. The system is shaped by an image acquisition algorithm, by running drivers over Windows, working together with a methodology that does OCR by eliminating of the holographic background that is the mean trouble in this problem. Performance of this methodology was measured through testing with a data base of 34 identity cards. A 92.6% of success in character recognition was obtained.\",\"PeriodicalId\":383297,\"journal\":{\"name\":\"2012 XVII Symposium of Image, Signal Processing, and Artificial Vision (STSIVA)\",\"volume\":\"231 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-11-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 XVII Symposium of Image, Signal Processing, and Artificial Vision (STSIVA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/STSIVA.2012.6340598\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 XVII Symposium of Image, Signal Processing, and Artificial Vision (STSIVA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/STSIVA.2012.6340598","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In this article, a system that allows optical recognition of characters in the Colombian national identity card is presented. The system is shaped by an image acquisition algorithm, by running drivers over Windows, working together with a methodology that does OCR by eliminating of the holographic background that is the mean trouble in this problem. Performance of this methodology was measured through testing with a data base of 34 identity cards. A 92.6% of success in character recognition was obtained.