基于2D-FFT的掌静脉图像Gabor滤波快速增强法

Rapid Enhancement of Palm Vein Image Gabor Filtering Based on 2D-FFT

手掌静脉纹识别技术作为新一代高精度的生物特征识别技术,被广泛用于个人身份鉴定领域.有效提取手掌静脉特征对于手掌静脉分类至关重要.然而,由于采集到的手掌静脉图像的质量较差,必须在识别前对手掌静脉图像进行增强.使用二维离散快速傅里叶变换(2D-FFT)代替传统空域卷积滤波,实现Gabor滤波器与原图像的频域卷积滤波.实验结果显示,本文提出的增强方法,相比较传统的自适应直方图均衡化和Retinex算法具有更佳的增强效果,相比于传统Gabor空域卷积滤波具有更低的计算复杂度,更适用于实时系统.

As a new generation of high-precision biometric recognition technology, palm vein pattern recognition technology is widely used in the field of personal identification. Effective extraction of palm vein features is essential for palm vein classification. However, because of the poor quality of the palmar vein images collected, it is necessary to enhance the palm vein image before recognition. The two-dimensional discrete fast Fourier transform(2 D-FFT) is used to replace the traditional spatial convolution filtering to realize the frequency domain convolution filtering of the Gabor filter and the original image. The experimental results show that the proposed enhancement method has better enhancement effect than the traditional adaptive histogram equalization and Retinex algorithm. Compared with the traditional Gabor spatial convolution filter, it has lower computational complexity and is more suitable for real time systems.