{"title":"Gender Classification using Skin Patterns","authors":"Deepak Kumar, Rahul Gupta, Ashirwad Sharma, Sushil Kumar Saroj","doi":"10.2139/ssrn.3351003","DOIUrl":null,"url":null,"abstract":"Gender classification is important for study of gender ratio, in security and forensic fields. There are several bases biometric, hand writing, palm pattern, ear shape and skin patches on which human gender is classified. In this paper, we use the skin patches of different body parts such as forehead, cheeks and opposite side of palm to classify the gender. If, criminals have covered their face in that case also, we can classify and detect their gender by using the skin patches of opposite side of palm. Since we use skin patches of different body parts, accuracy and probability to classify the gender has increased. By taking skin patches of different body parts as input and results, we find that our approach is novel and efficient.","PeriodicalId":89488,"journal":{"name":"The electronic journal of human sexuality","volume":"8 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The electronic journal of human sexuality","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3351003","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
Gender classification is important for study of gender ratio, in security and forensic fields. There are several bases biometric, hand writing, palm pattern, ear shape and skin patches on which human gender is classified. In this paper, we use the skin patches of different body parts such as forehead, cheeks and opposite side of palm to classify the gender. If, criminals have covered their face in that case also, we can classify and detect their gender by using the skin patches of opposite side of palm. Since we use skin patches of different body parts, accuracy and probability to classify the gender has increased. By taking skin patches of different body parts as input and results, we find that our approach is novel and efficient.