Research And Realization Of Fingerprint Disposal Algorithm Based On DSP

Traditional security system mainly is based on token or password. With the development of society, this system has become more frail. To cope with this challenge, man has turned look of biometrics and hoped to enhance identity verification by using his physical character and behavior. A fingerprint is the pattern of ridges and valleys on the surface of a fingertip. Modern statistics has proved that fingerprint is unique and steady, that means, one's fingerprint is different from all others and will not change all his life. Recently, as the development of micro –computer technique and embed developing system technique, automated fingerprint identification system (AFIS) has made a great progress. This article is meanly stress on the fingerprint image processing technique that is one of the key techniques of automated fingerprint identification system. 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.