【正文】
論文 2 摘 要 : 指紋識別技術以方便易用、高準確率和低成本等諸多優(yōu)勢備受關注, 已經(jīng)成為使用最廣泛的身份認證的有效手段。指紋圖像的預處理與特征提取的優(yōu)化能夠很大程度上提高整個系統(tǒng)的性能,在總結該領域現(xiàn)有研究成果的基礎上,通過深入研究當前流行的指紋識別算法,本課題組提出指紋識別算法要經(jīng)過指紋圖像分割算法,濾波增強算法、圖像二值化算法和細化算法、細節(jié)特征點提取算法和特征匹配算法過程,并用 MATLAB 對本系統(tǒng)部分環(huán)節(jié)所使 用的主流及優(yōu)化算法進行仿真,并反復實驗比較。文中介紹了其組成原理、硬件結構設計、系統(tǒng)功能設計、圖像采集電路的實現(xiàn),以及指紋識別算法的處理流程和實現(xiàn)方法。 關鍵詞:指紋識別 TMS320C5402 DSP 識別算法 Abstract: Fingerprint recognition technology is payed a great deal of concern for its many advantages, such as convenience, high accuracy and low cost, and has bee the most widely used and effective means of identity anthentication. Optimization of fingerprint image preprocessing course and feature extraction course can greatly improve the performance of the entire system. In deep view of the mainstream fingerprint recognition algorithm, based on the conclusion of the existing research results, our research group propose that fingerprint recognition algorithm should include fingerprint image segmentation algorithm, filtering enhancement algorithm, binarization algorithm, thinning algorithm, feature extraction algorithm and feature matching algorithm. We actualize the mainstream and optimization algorithm some aspects of the system used with matlab, and repeatedly make them contrasted. On the basis of prehensive balancing of the current advancernent of technology system performance and the cost a novel fingerprint identification system is designed with TMS320C5402 chip made by TI Corporation as its central processor. The hardware of system consists of FPS200 fingerprint collecting sensor main control circuit, input channels, output channels The program of fingerprint identification algorithm mixes the assemble language and C, which implements a high effective and low cost embedded system. The software and hardware design and implementation of this system are introduced later. In experiments, the module is fast speed and accurate, and takes a very good performance. Key words: fingerprint identification。 TMSC5402。 在各種生物識別技術中,指紋識別是日前生物檢測學中研究最深入 、 應用最廣泛、發(fā)展最成熟的最有前景的一種識別技術,它通過分析指紋的局部特征,從中抽取詳盡的特征點,從而可靠地確認個人身份 。 在實際應用中,采集到的輸入指紋圖像往往是一幅含有大量噪聲的灰度圖像。 目前針對每一步的算法研究都比較多,而根據(jù)實際的需要 , 很多算 法事實上存在著一定的缺陷。 指紋識別系統(tǒng)有著廣泛的應用背景,目前,