The Technology Of Fingerprint Identification Based On DSP

With the development of electronic computer and information technology, the identification technology using biometric have drawn more attention. Due to the uniqueness and invariability of fingerprints, the automated identification based on fingerprints is becoming an attractive alternative to the traditional methods of identification. However, there is much special noise in fingerprint images, and many methods wouldn't be publicized, so an ideal automated fingerprint identification system (AFIS) is still a difficult research subject.This article analyses the characteristic of fingerprint image and brings forward some reasonable supposes which related to the fingerprint image after I collected and analyzed many articles of others that is related to the fingerprint image processing and has published in the resent years. Based on these characteristic and supposes, I developed a set of fingerprint image processing arithmetic that are adapt to the fingerprint image gathered by capacitive solid-state device. These include several steps. They are analyzing quality, segmentation, filtering noise, thinning, refining the minutiae, analyzing reliability and matching of fingerprint image.Fingerprint matching is an important step of AFIS. The paper proposes a novel algorithm, which acquires a pair of reference minutiae and transform parameters for fingerprint matching according to the relationship between two subsets that consist of three neighboring minutiae derived from the two minutiae sets.The target of author is to make an embed automated fingerprint identification system, this means this system can finish the designed function without any other equipment or computer. For the reasons of sampling system, the fingerprint image can't meet our needs for identification. Using the pretreatment to the fingerprint image to enhance the adaptability of AFIS to the different condition is effective way. At the same time, there is great difference between programming on PC and embed system. So how to resolve the problem of transplant the arithmetic from PC to embedded system is anther question.