{"title":"利用灰度滤波和混合投影函数从灰度图像中自动提取视场","authors":"M. Montazeri, H. Nezamabadi-pour","doi":"10.1109/CCCA.2011.6031433","DOIUrl":null,"url":null,"abstract":"Eye detection has important role in Biometric identification and has known as one of the methods for person identification. In the recent years, many efforts have done for detecting eye automatically and with different image conditions. This paper proposes a method which can automatically detect eye in extensive range of images with different conditions. In the proposed method, region of face is detected by hybrid projection function and morphological operations, and then to identify window of eye, vertical edge dominance map is used. To detect center of pupil, two elliptical masks on eye image is applied. This method has implemented on JAFFE database and compared with 3 well-known methods. The accuracy of 99.53% on this database confirms efficiency of the proposed method.","PeriodicalId":259067,"journal":{"name":"2011 International Conference on Communications, Computing and Control Applications (CCCA)","volume":"172 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":"{\"title\":\"Automatic extraction of eye field from a gray intensity image using intensity filtering and hybrid projection function\",\"authors\":\"M. Montazeri, H. Nezamabadi-pour\",\"doi\":\"10.1109/CCCA.2011.6031433\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Eye detection has important role in Biometric identification and has known as one of the methods for person identification. In the recent years, many efforts have done for detecting eye automatically and with different image conditions. This paper proposes a method which can automatically detect eye in extensive range of images with different conditions. In the proposed method, region of face is detected by hybrid projection function and morphological operations, and then to identify window of eye, vertical edge dominance map is used. To detect center of pupil, two elliptical masks on eye image is applied. This method has implemented on JAFFE database and compared with 3 well-known methods. The accuracy of 99.53% on this database confirms efficiency of the proposed method.\",\"PeriodicalId\":259067,\"journal\":{\"name\":\"2011 International Conference on Communications, Computing and Control Applications (CCCA)\",\"volume\":\"172 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-03-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"14\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 International Conference on Communications, Computing and Control Applications (CCCA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCCA.2011.6031433\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 International Conference on Communications, Computing and Control Applications (CCCA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCCA.2011.6031433","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Automatic extraction of eye field from a gray intensity image using intensity filtering and hybrid projection function
Eye detection has important role in Biometric identification and has known as one of the methods for person identification. In the recent years, many efforts have done for detecting eye automatically and with different image conditions. This paper proposes a method which can automatically detect eye in extensive range of images with different conditions. In the proposed method, region of face is detected by hybrid projection function and morphological operations, and then to identify window of eye, vertical edge dominance map is used. To detect center of pupil, two elliptical masks on eye image is applied. This method has implemented on JAFFE database and compared with 3 well-known methods. The accuracy of 99.53% on this database confirms efficiency of the proposed method.