【摘要】： 指紋鑒別作為一種身份鑒別方法,是人體生物特征鑒別技術(shù)中最重要的一種。指紋自動識別技術(shù)作為現(xiàn)今生物特征識別技術(shù)的主流,有著十分廣泛的應(yīng)用前景。隨著近年來計算機技術(shù)和網(wǎng)絡(luò)建設(shè)的快速發(fā)展,自動指紋識別技術(shù)已經(jīng)越來越多的進入到人們的生活和工作中,自動指紋識別系統(tǒng)的研發(fā)和升級也正在成為國內(nèi)外學(xué)術(shù)界和商業(yè)界的熱點。但是,目前的指紋自動識別技術(shù)還遠遠不夠成熟,在許多關(guān)鍵步驟的算法上都有著十分廣闊的研究空間。 在刑事偵查領(lǐng)域,指紋是非常重要的證據(jù),也是查找和確認犯罪人員最直接、最準確的途徑。目前,隨著指紋自動識別系統(tǒng)在公安機關(guān)的推廣和普及,已經(jīng)產(chǎn)生出了巨大的應(yīng)用效益。但是,在刑偵工作的實踐當中,由于指紋來源復(fù)雜,而且相當部分的指紋圖像質(zhì)量低劣,給指紋圖像預(yù)處理增加了難度,直接制約了指紋自動識別系統(tǒng)的性能發(fā)揮。在大量關(guān)于指紋自動識別技術(shù)的研究中,有關(guān)此方面的研究報道還不多見。 本論文簡要分析了警用指紋自動識別系統(tǒng)的基本技術(shù)原理,并據(jù)此重點針對指紋圖像的預(yù)處理環(huán)節(jié)進行了研究。首先,提出了適合于不同來源指紋圖像的方向法和方差法相結(jié)合的復(fù)合分割方法,其次,為提高系統(tǒng)后續(xù)處理的可靠性,將基于Gabor濾波的方法應(yīng)用于指紋圖像增強。在此基礎(chǔ)上,結(jié)合指紋圖像的分割面積和方向計算提出了指紋圖像的質(zhì)量評估方法。 利用matlab進行的實驗表明,本論文提出的圖像分割方法能夠較好地對各種來源的指紋圖像進行分割,克服了大部分指紋圖像存在的對比度低,干擾嚴重等缺陷;基于Gabor濾波的圖像增強方法能夠顯著改善指紋圖像的視覺效果;本論文提出的質(zhì)量評估方法能夠正確地排除活體采集過程中的各種低質(zhì)量的指紋圖像。
[Abstract]:Fingerprint identification, as an identification method, is the most important technology of human biometric identification. As the mainstream of biometric identification technology, automatic fingerprint identification technology has a very wide application prospect. With the rapid development of computer technology and network construction in recent years, automatic fingerprint identification technology has been more and more into people's life and work. The research and development of automatic fingerprint identification system (AFIS) is becoming a hot spot in academic and business circles at home and abroad. However, the current automatic fingerprint identification technology is still far from mature, in many key steps of the algorithm has a very broad research space. In the field of criminal investigation, fingerprint is a very important evidence, and also is the most direct and accurate way to find and confirm the criminal. At present, with the popularization and popularization of fingerprint automatic identification system in public security organs, it has produced enormous application benefits. However, in the practice of criminal investigation, because of the complexity of fingerprint source and the inferior quality of fingerprint image, it increases the difficulty of fingerprint image preprocessing and directly restricts the performance of automatic fingerprint identification system. In a large number of researches on automatic fingerprint identification technology, there are few reports on this aspect. In this paper, the basic technical principle of police fingerprint automatic identification system is briefly analyzed, and the preprocessing of fingerprint image is studied. Firstly, a hybrid segmentation method, which is suitable for the combination of directional method and variance method, is proposed. Secondly, in order to improve the reliability of system follow-up processing, the method based on Gabor filter is applied to fingerprint image enhancement. On this basis, a method of fingerprint image quality evaluation is proposed by combining the segmentation area and direction calculation of fingerprint image. The experiments conducted by matlab show that the image segmentation method proposed in this paper can segment fingerprint images from various sources well, and overcome the shortcomings of low contrast and serious interference in most fingerprint images. The image enhancement method based on Gabor filter can significantly improve the visual effect of fingerprint image, and the quality evaluation method proposed in this paper can correctly eliminate all kinds of low-quality fingerprint images in the process of living body acquisition.
【學(xué)位授予單位】：重慶大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2007
【分類號】：D918.91

【引證文獻】

相關(guān)期刊論文 前1條

1 陳英;;自動指紋識別系統(tǒng)的實現(xiàn)[J];浙江科技學(xué)院學(xué)報;2012年04期

相關(guān)碩士學(xué)位論文 前1條

1 阮春燕;越秀外國語學(xué)院指紋考勤系統(tǒng)的設(shè)計與實現(xiàn)[D];電子科技大學(xué);2011年

，

本文編號：2403304