Fast Fingerprint Recognition Solution Based on Neuron Chip Engine

摘要

In this paper, we address fast fingerprint recognition and related technical problems arising in various of embedded systems with critical information security considerations nowadays. Our method adopts a truly parallel processing neuron chip to accelerate the recognition speed. We propose an effective algorithm by combining Eight Directions Gabor Filters to filter the real-life finger images and Principal Component Analysis (PCA) method to reduce the dimensions of feature vectors. Experiments show that the hardware based fingerprint system has better performance than these conventional systems in regards to accuracy and speed.