Pipelined minutiae extraction from fingerprint images

Fingerprint identification is an important biometric technique for personal identification. Most of the automatic systems of fingerprint recognition are based on matching of fingerprint minutiae. In this paper, we described a method that reduces the complexity of computations and extract the minutiae from binary image with appropriate speed. In this paper a new hardware scheme is presented which is based on pipelined architecture in order to real-time minutiae extraction. Simulations and implementation result shows the operation and accuracy of suggested method.