Research And Development On Automated Fingerprint Identification System

Recently, the Biometric technology has been universally noticed, and it is considered that this technology has a great future. Now, Fingerprint Identification is the most developed Biometric technologyextensively used in many fields, which has a bright future.Due to their uniqueness and persistence, fingerprints are used as main basis of personal identity. Automated fingerprint identification system, a technology of fingerprint identification using computer, is of convenience, high efficiency, security and reliability. It has been applied in many fields such as financial security, data encryption, electronical business and will play a more and more important role in our life.This paper is about the study and design of automated fingerprint identification system. According to the process of the design, the paper can be devided into three components: pre-processing, feature extraction, matching of fingerprint images.Fingerprint image pre-processing has five parts: filtration in gray-scale image, binarization, filtration in binary image, thinning and filtration in thinning image. In this paper, we firstly design orientation filters based on directional image of fingerprint and employ them to denoise gray-scale image. Then, we binarize the gray-scale image with local self-adaptive binarization smoothness algorithm and eliminate the noises from the binary image with fast Fourier transform algorithm. Afterwards, by using thinning templates, we get the skeleton fingerprint image from the binary image. After thinning, we get rid of the noises from the acquired skeleton image according to their configuration.Fingerprint image feature extraction mainly extracts the minutiae and their positions. Firstly, this paper presents an algorithm based on ridge following to extract all minutiae from the pre-processed image. Secondly,...