{"title":"灰度指纹图像的压缩","authors":"T. Hopper, F. Preston","doi":"10.1109/DCC.1992.227450","DOIUrl":null,"url":null,"abstract":"Investigates a number of techniques developed for fingerprint identification. The test implementations include: ISO/CCITT JPEG developed cosine transform; local cosine transform; best basis-adaptive wavelet transform plus uniform quantisation; wavelet vector quantisation; and wavelet scaler quantisation. All of the above algorithms are viewed from a multifrequency or subband decomposition perspective. The results of ad hoc tests are summarised.<<ETX>>","PeriodicalId":170269,"journal":{"name":"Data Compression Conference, 1992.","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"35","resultStr":"{\"title\":\"Compression of grey-scale fingerprint images\",\"authors\":\"T. Hopper, F. Preston\",\"doi\":\"10.1109/DCC.1992.227450\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Investigates a number of techniques developed for fingerprint identification. The test implementations include: ISO/CCITT JPEG developed cosine transform; local cosine transform; best basis-adaptive wavelet transform plus uniform quantisation; wavelet vector quantisation; and wavelet scaler quantisation. All of the above algorithms are viewed from a multifrequency or subband decomposition perspective. The results of ad hoc tests are summarised.<<ETX>>\",\"PeriodicalId\":170269,\"journal\":{\"name\":\"Data Compression Conference, 1992.\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1992-03-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"35\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Data Compression Conference, 1992.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DCC.1992.227450\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Data Compression Conference, 1992.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DCC.1992.227450","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Investigates a number of techniques developed for fingerprint identification. The test implementations include: ISO/CCITT JPEG developed cosine transform; local cosine transform; best basis-adaptive wavelet transform plus uniform quantisation; wavelet vector quantisation; and wavelet scaler quantisation. All of the above algorithms are viewed from a multifrequency or subband decomposition perspective. The results of ad hoc tests are summarised.<>