基于激光扫描的残缺指纹图像特征提取技术研究

发布时间：2018-01-06 10:44

本文关键词：基于激光扫描的残缺指纹图像特征提取技术研究　出处：《激光杂志》2017年11期 　论文类型：期刊论文

更多相关文章： 激光扫描 残缺指纹 识别 特征提取 图像

【摘要】：传统的指纹识别常采用基于纹理边缘轮廓检测方法,不能对残缺指纹进行有效识别,为了实现对残缺指纹图像特征的有效辨认识别,提出一种基于激光扫描的残缺指纹图像特征提取技术。对激光扫描采集残缺指纹图像进行边缘像素集特征分解与角点检测,采用Harris角点检测技术进行残缺指纹非规则角点标记,对激光扫描指纹图像进行边缘轮廓分割,结合指纹的先验纹理特征进行信息融合和残缺点特征提取。仿真结果表明,采用该方法进行残缺指纹图像特征提取,输出图像的峰值信噪比较高,提高了对残缺指纹的有效识别精度。
[Abstract]:The traditional fingerprint recognition is usually based on texture edge contour detection method, which can not effectively identify the incomplete fingerprint, in order to achieve the effective recognition of the image features of the incomplete fingerprint. This paper presents a feature extraction technique for incomplete fingerprint image based on laser scanning. The feature decomposition of edge pixel set and corner detection are carried out for laser scanning image acquisition of incomplete fingerprint image. Harris corner detection technique is used to mark incomplete fingerprint irregular corner, and the edge contour of laser scanned fingerprint image is segmented. Combining the prior texture feature of fingerprint with information fusion and feature extraction of incomplete points, the simulation results show that this method is used to extract the feature of incomplete fingerprint image, and the peak signal-to-noise ratio of output image is higher. The effective recognition accuracy of incomplete fingerprint is improved.
【作者单位】：陕西警官职业学院;
【基金】：陕西省教育厅教改项目(13Z39)
【分类号】：TN249;TP391.41
【正文快照】： 指纹提取技术是计算机图像处理的一个重要应用方向,而今指纹提取已经广泛应用在安全检查、门禁安防系统管理、身份证管理和刑事侦查等身份辨认领域中[1]。指纹提取的原理是采用图像处理技术进行指纹的纹理信息特征提取,得出能唯一反应当事人身份的指纹信息,从而实现人员身份辨

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