【摘要】：針對接觸式指紋識別中存在的非線性形變問題,提出了一種基于復(fù)合梯度向量(Composite Gradient Vector,CGV)的指紋匹配算法.該算法首先在經(jīng)過預(yù)處理的指紋圖像上建立直角坐標(biāo)系和第一個基向量,并對指紋圖像進行旋轉(zhuǎn);然后在旋轉(zhuǎn)后的指紋圖像上采樣基向量,組建向量簇,提取極大梯度向量,并以極大梯度向量為元素組建復(fù)合梯度向量;最后以分層標(biāo)記規(guī)則對復(fù)合梯度向量進行分層標(biāo)記,通過對指紋庫進行指紋檢索、復(fù)合梯度向量匹配、維度和梯度匹配,識別出指紋圖像.實驗結(jié)果表明,該方法克服了接觸式指紋識別中旋轉(zhuǎn)、偏移、拉伸等問題,有較強的抗非線性形變能力,同時具有較快的識別速度和較高的識別準(zhǔn)確率.
[Abstract]:A fingerprint matching algorithm based on composite gradient vector (CGV) is proposed for non-linear deformation in contact fingerprint identification. the method comprises the following steps of: firstly, establishing a rectangular coordinate system and a first base vector on a pre-processed fingerprint image, and rotating the fingerprint image; and then sampling a base vector on the rotated fingerprint image, forming a vector cluster, and extracting a great gradient vector, And a composite gradient vector is formed by taking a maximal gradient vector as an element, and finally, the composite gradient vector is subjected to a hierarchical mark by a hierarchical marking rule, and the fingerprint image is identified by carrying out fingerprint retrieval on the fingerprint library, matching the composite gradient vector, the dimension and the gradient. The experimental results show that the method overcomes the problems of rotation, offset, stretching and the like in the contact fingerprint identification, and has strong anti-non-linear deformation capability, and has faster identification speed and higher recognition accuracy.
【作者單位】： 遼寧工程技術(shù)大學(xué)工商管理學(xué)院;遼寧工程技術(shù)大學(xué)軟件學(xué)院;
【基金】：國家自然科學(xué)基金(No.61172144)
【分類號】：TP391.41

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