本文選題：虹膜識別 + 特征穩(wěn)定性　； 參考：《河南科技大學》2017年碩士論文

【摘要】：隨著我國信息化技術的深入發(fā)展,信息安全日益成為社會關注的重要問題。生物特征識別技術由于自身具有的重要特性,已被廣泛的關注和應用,其中虹膜識別技術由于自身的特點(高度準確性、唯一性、穩(wěn)定性、防偽性和非接觸性)而被認為是一種具有高度研究價值和應用前景的生物識別技術。然而在實際的應用中,虹膜識別技術還存在著很多的缺陷,如低質量的虹膜圖像干擾、虹膜定位不精確和虹膜特征選取不當?shù)纫蛩囟紩䦟е绿崛〉暮缒ぬ卣鞣�(wěn)定性較差,從而降低整個識別系統(tǒng)的性能。所以對影響虹膜特征穩(wěn)定性的關鍵技術研究很有必要。本文首先梳理和分析了國內外虹膜識別技術的研究現(xiàn)狀,對當前虹膜識別中的幾個主要的虹膜識別算法進行了分析研究,并將這些相關算法進行了比較;然后從整體上詳細的介紹了虹膜識別系統(tǒng)的各個部分的內容,以及采用的算法技術;最后詳細的介紹了本文在虹膜識別的關鍵技術上的創(chuàng)新和改進,并在中科院CASIA_V1.0數(shù)據(jù)庫和實驗室自建數(shù)據(jù)庫BA上對改進的算法進行了實驗分析。本文的主要研究內容如下:1.為了消除低質量的虹膜圖像(采集設備和采集環(huán)境的差異)對識別系統(tǒng)性能的影響,本文采用了基于Fourier變換的虹膜圖像質量評價算法,去除采集的低質量圖像,降低虹膜識別系統(tǒng)的誤識率。2.針對虹膜外圓定位時受圖像質量影響較大,搜索范圍增大耗時較長的問題,研究了一種結合統(tǒng)計知識和微分積分定位的虹膜外圓定位算法,縮小了圓周的定位精度,提高了定位速度。3.仔細的研究了虹膜紋理的局部細節(jié)特征,提出了一種利用多通道的二維Gabor濾波器對虹膜子塊局部細節(jié)進行量化的特征提取方法,并結合相位信息組合成特征向量,以此來編碼虹膜特征。對數(shù)據(jù)庫中的圖像樣本進行實驗,實驗結果表明,本文采用的基于Fourier變換的虹膜圖像質量評價算法、改進的虹膜外圓定位算法和基于關鍵點間特征向量的虹膜特征提取算法,使得提取的虹膜特征具有較高的穩(wěn)定性,并提高了識別系統(tǒng)的速率和識別正確率,符合現(xiàn)有虹膜識別系統(tǒng)開發(fā)技術要求。
[Abstract]:With the further development of information technology in China, information security has become an important issue of social concern. Biometric recognition technology has been widely paid attention to and applied because of its own important characteristics, among which iris recognition technology is highly accurate, unique and stable. It is considered to be a biometric technology with high research value and application prospect. However, in practical application, there are still many defects in iris recognition technology, such as low quality iris image interference, inaccurate iris location and improper selection of iris features, which will lead to poor stability of extracted iris features. Thus, the performance of the whole recognition system is reduced. Therefore, it is necessary to study the key techniques that affect the stability of iris features. In this paper, firstly, the research status of iris recognition technology at home and abroad is analyzed and analyzed, and several main iris recognition algorithms are analyzed and compared. Then the content of each part of iris recognition system is introduced in detail, and the arithmetic technology is introduced in detail. Finally, the innovation and improvement of the key technology of iris recognition in this paper are introduced in detail. The improved algorithm is analyzed experimentally on CASIA V1.0 database and lab database BA. The main contents of this paper are as follows: 1. In order to eliminate the influence of the low quality iris image (the difference between the acquisition equipment and the acquisition environment) on the performance of the recognition system, an iris image quality evaluation algorithm based on Fourier transform is adopted in this paper to remove the collected low quality image. Reduce the error rate of iris recognition system. 2. Aiming at the problem that the iris outer circle location is greatly affected by image quality and the search scope is increased, a new iris circle location algorithm combining statistical knowledge and differential integral positioning is studied, which reduces the accuracy of the circle location. Improved positioning speed. 3. In this paper, the local details of iris texture are studied carefully, and a feature extraction method based on multi-channel two-dimensional Gabor filter is proposed to quantize the local details of iris sub-block, and the feature vector is formed by combining the phase information. This is used to encode iris features. The experimental results on the image samples in the database show that the iris image quality evaluation algorithm based on Fourier transform, the improved iris outer circle location algorithm and the iris feature extraction algorithm based on the feature vectors between key points are adopted in this paper. The extracted iris features are of high stability, and the rate and accuracy of the recognition system are improved, which meets the technical requirements of the existing iris recognition system.
【學位授予單位】：河南科技大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：TP391.41;TP309

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本文編號：2043136