Detecting fingerprint distortion from a single image

2012 IEEE International Workshop on Information Forensics and Security (WIFS) Pub Date : 2012-12-01 DOI:10.1109/WIFS.2012.6412616

Xuanbin Si, Jianjiang Feng, Jie Zhou

引用次数: 26

Abstract

Elastic distortion of friction ridge skin is one of the major challenges in fingerprint matching. Since existing fingerprint matching systems cannot match seriously distorted fingerprints, criminals may purposely distort their fingerprints to evade identification. Existing distortion detection techniques require availability of specialized hardware or fingerprint video, limiting their use in real applications. In this paper we conduct a study on fingerprint distortion and develop an algorithm to detect fingerprint distortion from a single image which is captured using traditional fingerprint sensing techniques. The detector is based on analyzing ridge period and orientation information. Promising results are obtained on a public domain fingerprint database containing distorted fingerprints.

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从单个图像检测指纹失真

摩擦脊皮的弹性变形是指纹匹配中的主要问题之一。由于现有的指纹匹配系统无法匹配严重扭曲的指纹，犯罪分子可能会故意扭曲指纹以逃避识别。现有的失真检测技术需要专门的硬件或指纹视频，限制了它们在实际应用中的使用。本文对指纹失真进行了研究，并开发了一种从传统指纹传感技术捕获的单幅图像中检测指纹失真的算法。该探测器基于对脊周期和方位信息的分析。在包含扭曲指纹的公共领域指纹数据库上取得了令人满意的结果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2012 IEEE International Workshop on Information Forensics and Security (WIFS)

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