{"title":"人脸形态检测:系统综述","authors":"Rezza Fauzy Sucipto, F. Hidayat","doi":"10.1109/ICISS55894.2022.9915233","DOIUrl":null,"url":null,"abstract":"Biometric verification especially faces recognition has been widely applied in daily life, including in immigration. Face recognition is used for identification verification in passport identities. But there is a security threat in face recognition, which is called face morph. Face morph is the combination of the passport applicant's face image with the face image of another subject to produce a face image similar to the face of the applicant's passport document by covering the facial features of the other subject. It can cause serious problems if misused by people listed on the blacklist. Blacklists are people who are subject to immigration restrictions such as suspension of passport issuance, inclusion on the prevention list, and inclusion on the deterrence list. So that the person listed on the blacklist can have a passport to then cross the border out of Indonesian territory which can cause problems and disturb the country's sovereignty. This research uses the Systematic Literature Review (SLR) method to collect and analyze previous studies related to the research topic. The result of this research is to get the method and trend of face morph detection. Detection of face morphs is generally divided into 2 scenarios, i.e., single image-based and differential image-based. The detection method for single image-based is divided into texture, quality, noise, deep learning, and hybrid, while the detection method for differential image-based is divided into feature difference and demorphing. So, with face morph detection, it is expected to be able to increase the security of passport documents and increase security at immigration checkpoints.","PeriodicalId":125054,"journal":{"name":"2022 International Conference on ICT for Smart Society (ICISS)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Face Morph Detection: A Systematic Review\",\"authors\":\"Rezza Fauzy Sucipto, F. Hidayat\",\"doi\":\"10.1109/ICISS55894.2022.9915233\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Biometric verification especially faces recognition has been widely applied in daily life, including in immigration. Face recognition is used for identification verification in passport identities. But there is a security threat in face recognition, which is called face morph. Face morph is the combination of the passport applicant's face image with the face image of another subject to produce a face image similar to the face of the applicant's passport document by covering the facial features of the other subject. It can cause serious problems if misused by people listed on the blacklist. Blacklists are people who are subject to immigration restrictions such as suspension of passport issuance, inclusion on the prevention list, and inclusion on the deterrence list. So that the person listed on the blacklist can have a passport to then cross the border out of Indonesian territory which can cause problems and disturb the country's sovereignty. This research uses the Systematic Literature Review (SLR) method to collect and analyze previous studies related to the research topic. The result of this research is to get the method and trend of face morph detection. Detection of face morphs is generally divided into 2 scenarios, i.e., single image-based and differential image-based. The detection method for single image-based is divided into texture, quality, noise, deep learning, and hybrid, while the detection method for differential image-based is divided into feature difference and demorphing. So, with face morph detection, it is expected to be able to increase the security of passport documents and increase security at immigration checkpoints.\",\"PeriodicalId\":125054,\"journal\":{\"name\":\"2022 International Conference on ICT for Smart Society (ICISS)\",\"volume\":\"12 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-08-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 International Conference on ICT for Smart Society (ICISS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICISS55894.2022.9915233\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on ICT for Smart Society (ICISS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICISS55894.2022.9915233","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
生物特征验证特别是人脸识别在日常生活中得到了广泛的应用,包括在移民中。人脸识别用于护照身份的身份验证。但人脸识别存在一个安全威胁,即人脸变形。人脸变形是将护照申请人的人脸图像与另一主体的人脸图像组合,通过覆盖另一主体的面部特征,产生与申请人护照文件人脸相似的人脸图像。如果被列入黑名单的人滥用,可能会导致严重的问题。黑名单是指被禁止发放护照、被列入预防名单、被列入威慑名单等限制入境的人。这样,黑名单上的人就可以拥有护照,然后越过边界离开印尼领土,这可能会造成问题,扰乱国家主权。本研究采用系统文献综述法(Systematic Literature Review, SLR),对与本研究课题相关的前人研究进行收集和分析。研究的结果是得出人脸形态检测的方法和发展趋势。人脸变形检测一般分为基于单图像和基于差分图像两种场景。基于单幅图像的检测方法分为纹理、质量、噪声、深度学习和混合检测,基于差分图像的检测方法分为特征差异和变形检测。因此,通过面部形态检测,有望提高护照文件的安全性,并提高移民检查站的安全性。
Biometric verification especially faces recognition has been widely applied in daily life, including in immigration. Face recognition is used for identification verification in passport identities. But there is a security threat in face recognition, which is called face morph. Face morph is the combination of the passport applicant's face image with the face image of another subject to produce a face image similar to the face of the applicant's passport document by covering the facial features of the other subject. It can cause serious problems if misused by people listed on the blacklist. Blacklists are people who are subject to immigration restrictions such as suspension of passport issuance, inclusion on the prevention list, and inclusion on the deterrence list. So that the person listed on the blacklist can have a passport to then cross the border out of Indonesian territory which can cause problems and disturb the country's sovereignty. This research uses the Systematic Literature Review (SLR) method to collect and analyze previous studies related to the research topic. The result of this research is to get the method and trend of face morph detection. Detection of face morphs is generally divided into 2 scenarios, i.e., single image-based and differential image-based. The detection method for single image-based is divided into texture, quality, noise, deep learning, and hybrid, while the detection method for differential image-based is divided into feature difference and demorphing. So, with face morph detection, it is expected to be able to increase the security of passport documents and increase security at immigration checkpoints.