{"title":"采用选择性JPEG2000加密的高效指纹图像保护中的传感器依赖性","authors":"Martin Draschl, Jutta Hämmerle-Uhl, A. Uhl","doi":"10.1109/IWBF.2017.7935094","DOIUrl":null,"url":null,"abstract":"Biometric system security requires cryptographic protection of sample data under certain circumstances. We assess low complexity selective encryption schemes applied to JPEG2000 compressed fingerprint data by conducting fingerprint recognition on the selectively encrypted data. This paper specifically investigates the effect of considering different sensors for data acquisition and finds significant dependency of optimal encryption settings on the sensor employed.","PeriodicalId":111316,"journal":{"name":"2017 5th International Workshop on Biometrics and Forensics (IWBF)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Sensor dependency in efficient fingerprint image protection using selective JPEG2000 encryption\",\"authors\":\"Martin Draschl, Jutta Hämmerle-Uhl, A. Uhl\",\"doi\":\"10.1109/IWBF.2017.7935094\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Biometric system security requires cryptographic protection of sample data under certain circumstances. We assess low complexity selective encryption schemes applied to JPEG2000 compressed fingerprint data by conducting fingerprint recognition on the selectively encrypted data. This paper specifically investigates the effect of considering different sensors for data acquisition and finds significant dependency of optimal encryption settings on the sensor employed.\",\"PeriodicalId\":111316,\"journal\":{\"name\":\"2017 5th International Workshop on Biometrics and Forensics (IWBF)\",\"volume\":\"40 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 5th International Workshop on Biometrics and Forensics (IWBF)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IWBF.2017.7935094\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 5th International Workshop on Biometrics and Forensics (IWBF)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IWBF.2017.7935094","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Sensor dependency in efficient fingerprint image protection using selective JPEG2000 encryption
Biometric system security requires cryptographic protection of sample data under certain circumstances. We assess low complexity selective encryption schemes applied to JPEG2000 compressed fingerprint data by conducting fingerprint recognition on the selectively encrypted data. This paper specifically investigates the effect of considering different sensors for data acquisition and finds significant dependency of optimal encryption settings on the sensor employed.