Fingerprint Identification Using WAVELET Transform

Biometric identification systems have been developed to achieve automatic identification of a person based on his physiological or behavioral characteristics. Biometric systems are critical in a wide range of applications such as banking system, E-commerce, smart cards, and access control to secure system. Automatic fingerprint identification is one of the most reliable biometric system, which is used for identifying persons. This study, aim is to design a fingerprint identification system, which is capable of identifying a fingerprint with high level of accuracy. Therefore, this system can be applied to a wide range of forensic applications. This study has proposed many algorithms for automatic fingerprint identification . The proposed algorithm based upon wavelet transform (four levels) feature extraction and minimum distance classifier (Euclidean distance ) to make fingerprint identification. The identification accuracy of this algorithm has been found to be 60%