Research On Algorithm Of Fingerprint Identification Based On DSP

Fingerprint identification technology based on biological characteristics, with information processing technology as a means, combines biotechnology and information. It has wide application prospect in all fields which contain identity authentication. Although theoretical research and application development of it have got a significant progress, accuracy of the algorithm and processing speed still need to be improved. Construction of accurate and reliable, safe and practical automatic fingerprint identification system (AFIS) has become a research hotspot.In this paper, fingerprint identification and hardware design are analyzed and discussed in detail, putting forword the optimized algorithm and hardware design based on DSP. The main purpose of this study is to use the fingerprint identification technology for identity authentication, optimize fingerprint identification algorithm, and put forward a DSP scheme. This paper is made up of the following parts:1. The domestic and overseas actuality of fingerprint identification technology are researched and analyzed. Fingerprint image pretreatment, Minutiae Extraction and fingerprint matching is reserarched with emphasis.2. The main phases of fingerprint identification algorithm are improved and optimized. In the process of minutiae extraction, classical thinning images and 8-connected templates are complared to reduce the difficulty of tracking. In the processing of image matching, the imge is assorted before the triangle-based fingerprint minutiae matching algorithm, reducing the calculation greatly.3. The hardware design of fingerprint identification introduction is using digital signal processing TMS320VC5416 and fingerprint sensor MBF200 as its main chips, with the cooperation of SRAM memory, FLASH memory, LCD and so on.This research project has done an optimized research on fingerprint identification algorithm and provided a DSP-application-based fingerprint process module of general type as an application platform for fingerprint identification algorithm. Simulation has proved that optimized algorithm presented by this paper is practicable. This research projection can promote the application and popularization of this technology.