Dactyloscopy Based Gender Classification Using Machine Learning
V. Rekha, S Gurupriya, S Gayadhri, S Sowmya · 2019 IEEE International Conference on System, Computation, Automation and Networking (ICSCAN) · 2019
Generally, human have disparate and unique badge which can be used to distinguish them from other person. Various biometric features that identify gender characteristics of every individual technique. Significant work has been doing in the part of recognizing a person. Detecting a person using biometrics like fingerprints, iris, face, tread, and so. It has gained massive importance in the research area and also received a considerable attention in distinct fields like forensic, investigation, security applications, e-commerce authentication, automation systems, etc. Therefore, the following information gives the overview about the techniques used in the field of gender classification using fingerprint biometric of a person, which can be consumed to identify a person as masculine or feminine.