基于激光图像分析的残缺指纹提取技术

Incomplete fingerprint extraction technology based on laser image analysis

为了提高残缺指纹的识别和特征提取能力,提出一种基于激光图像分析的残缺指纹提取技术。采用激光扫描技术进行指纹图像采集,对采集的指纹图像采用局部噪点分离方法进行滤波处理,提升激光指纹图像的识别信噪比,对指纹的残缺部分采用图像修复技术进行纹理修复处理,结合自适应图像边缘融合技术进行残缺指纹的边缘纹理修复处理,采用自适应模板匹配方法进行残缺指纹激光图像的纹理特征提取,实现残缺指纹提取和优化识别。仿真结果表明,采用该方法进行残缺指纹提取的识别能力较强,特征提取准确性较高,对指纹的残缺部分的修复能力较好,提高了残缺指纹的识别和检测能力。

In order to improve the recognition and feature extraction ability of the incomplete fingerprint, a method of extracting the incomplete fingerprint based on the laser image analysis is proposed. The laser scanning technique is used to collect the fingerprint image, and the local fingerprint image is filtered to improve the recognition signal to noise ratio of the laser fingerprint image. The incomplete part of the fingerprint is processed by image restoration, and the edge texture of the incomplete fingerprint is repaired by the adaptive image edge fusion technology. The adaptive template matching method is used to extract the texture feature of the incomplete fingerprint laser image, and the residual fingerprint is extracted and optimized. The simulation results show that the fingerprint is extracted and optimized. Using this method, the recognition ability of the incomplete fingerprint extraction is strong, the accuracy of feature extraction is high, the restoration ability of the incomplete parts of the fingerprint is better, and the recognition and detection ability of the incomplete fingerprint is improved.