Gender Classification Based on Iris Recognition Using Artificial Neural Networks

Biometric authentication is one of the most quickly increasing innovations in today's world; this promising technology has seen widespread use a variety fields, including surveillance services, safe financial transfers, credit-card authentication. biometric verification processes such as gender, age, ethnicity iris recognition considered accurate compared to other vital features face, hand geometry, and fingerprints. Because irises same person are not similar. In work, study gender classification using Artificial Neural Networks (ANN) based on recognition. The eye image data were collected from IIT Delhi IRIS Database. All datasets images processed various processing techniques neural network. results obtained showed high performance training got good testing. ANN's testing process gave maximum at 96.4% 97% respectively.