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Fingerprints based gender classification using Adaptive Neuro Fuzzy Inference System

In this paper, the Gender through Fingerprints have been determined by using Adaptive Neuro Fuzzy Inference System (ANFIS) method. Finger prints verification is one of the most reliable personal identification method and it plays a very important role in forensic application like criminal investigation. Finger prints has been used as a biometric for the gender identification because of its unique nature and do not change throughout the life of an individual. To classify a given fingerprint image as male or female, we extracted the most significant features such as RVA and Frequency Domain Analysis (Frequency based feature such as Horizontal, vertical, diagonal & amplitude).These features were then used to train the ANFIS classifier. The experimental results showed that the proposed system can be used as a prime candidate in forensic anthropology with a higher accuracy than NN and Fuzzy individually.