The Performance Evaluation for Personal Identification using Palm print and Face Recognition
2015
Biometrics helps to provide the identity of the user based on his/her physiological or behavioural characteristics.The physiological characteristics signifies using human body parts for authentication like fingerprint, iris, ear, palm print, face etc.The behavioural characteristics include action done using body parts like voice, signature and gait etc. Palm print is one of the relatively new physiological biometrics due to its stable and unique characteristics.The rich texture information of palm print offers one of the powerful means in personal identification and verification.Biometric palm print recognizes a person based on the principal lines, wrinkles and ridges on the surface of the palm.These line structures are stable and remain unchanged throughout the life of an individual.The proposed methodology is divided into four steps: image acquisition by a regular webcam, image pre-processing for image normalization, segmentation for biometric extraction and human interpretation.The goals of the face recognition system are 1) to create the fast recognition system for the face database 2) to predict how old the person is and to carry out the face recognition system based on this predicted age 3) to stop underage drinkers from entering bars, prevent minors from purchasing tobacco products from vending machines 4) deny children access to adult Web sites by predicting their age.The main advantage of this system is reduction of searching time and it requires small memory usage.According to the experiment result, this system is an effective age dependent face recognition system.The proposed system has been tested with different images.Experimental tests have proved that the proposed approach is not only robust but also quite efficient.