The Study Of The Fingerprint Identification System On DSP

In current society, the demand on the security of information is increasing. Biometrics, which refers to identifying an individual based on his or her characteristics, has the capability to reliably distinguish between an authorized person and an imposter. Among all biometrics, fingerprint-based identification is one of the widest used identity and identification technologies for its uniqueness and invariability. It relates to a lot of fields, including pattern recognition, digital image processing, digital signal processing, artificial intelligence and so on. It has great worth, and has not only theoretical significance but also practical value.Now most of the automatic fingerprint identification systems are realized on the PC-based platform. But the newly developed market for civil application has demand more for system's portability and convenience. So the trend of miniaturizing and embedding the system for automatic fingerprint identification become more and more distinct.In these backgrounds, I investigate and sum up keystones and the key of technology in fingerprint identification. I introduce some algorithms about image preprocessing, feature extraction and matching in detail. Through comparing the algorithms at present, I selecte the fingerprint recognition algorithms relatively suitable for DSP hardware system, with combining their own characteristic of the fingerprint images, which are mainly against the performance characteristic of DSP embedded system and handling capacity. In the procedure of fingerprint images thinning, false features elimination and fingerprint-matching, I have the corresponding algorithms improved, simplified and innovated. So, the whole set of algorithms not only can finish their own work better, but also operation is simpler. They can also merge together effectively. All these, have established the foundation for its application in DSP system.The textual fingerprint identification algorithms depend on practice again and again. Some particular parameters and methods about fingerprint preprocessing, feature extraction and matching are pointed out in the paper.After running the correlative program to verify the feasibility, I design a kind of fingerprint identification system on DSP, and introduce its peripheral circuit modules in detail. What the top management chip is adopted is TMS320VC5410 chip with high proprieties of TI Company. TMS320VC5410 has excellent behavior to a large amount of adding and multiplication operations, which are essential to pattern process algorithms of fingerprint. At the same time, CCS that TI offered to this serial processors provide the abundant debugging means for developer, and, it supports C language and the assembler language to mix programming, this contributes to the fingerprint identification algorithms realized in the hardware system. In addition, for...