A study of gender recognition from Iris: A literature survey

Recent biometrie research has examined the possibility of obtaining attributes such as hair color, age, gender, weight, ethnicity, height, etc. from biometric traits, face, hand geometry, fingerprints and iris. This paper examines detailed study about different process, for each step of predicting gender from iris for achieving better accuracy and authentication. Capturing the iris image in high quality specification camera is used to achieving specific features of iris. Different algorithms and software systems are used to locate the boundaries of an iris image. Mutual Information(MI) is better used to compare other feature in geometry, texture etc. UND_V and GFI datasets are used to get more accuracy in SVM classifier for better gender prediction.