Research on Fingerprint Image Based on Improved Log-Gabor Filter Enhancement Algorithm

Xianguo Wang, Chunxi Guan, Shunjie Lin, Hanhua Cao
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引用次数: 3

Abstract

In biometric identification, the most widely used form was the fingerprint, which has unique and invariable property. The main task of fingerprint enhancement was to restore the structural defects of its ridge. The ultimate goal was to improve the accuracy of fingerprint feature extraction by improving the quality of the ridge, leading to improving the accuracy of fingerprint identification. Based on the fingerprint enhancement algorithms, The Gabor filtering has nice band pass ability in fingerprint enhancement from experimental results, with nice direction and frequency selectivity. Thus, Gabor filtering can effectively remove the noise of the ridge along its direction, also save the true ridge structure. As an improved algorithm, Log-Gabor filter which can make up the defect of Gabor filter improves the final effect of filtering.
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基于改进Log-Gabor滤波增强算法的指纹图像研究
在生物特征识别中,应用最广泛的形式是指纹,它具有唯一性和不变性。指纹增强的主要任务是修复指纹脊的结构缺陷。最终目的是通过提高脊的质量来提高指纹特征提取的准确性,从而提高指纹识别的准确性。实验结果表明,Gabor滤波在指纹增强算法中具有良好的带通能力,具有良好的方向选择性和频率选择性。因此,Gabor滤波可以有效地去除脊线沿其方向的噪声,同时也保留了真正的脊线结构。Log-Gabor滤波作为一种改进算法,弥补了Gabor滤波的缺陷,提高了滤波的最终效果。
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