Fingerprint Identification using Radon Transform

2008 First Workshops on Image Processing Theory, Tools and Applications Pub Date : 2008-11-01 DOI:10.1109/IPTA.2008.4743781

Z. Haddad, Azeddine Beghdadi, A. Serir, A. Mokraoui

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引用次数: 10

Abstract

In this paper, a new method for fingerprint identification based on Radon transform is proposed as an alternative to minutiae-based approaches. Since existing methods based on these local characteristics "minutiae" have attained a level of success rate saturation, this paper aims to open a new gateway by proposing a different approach for analyzing fingerprints. This approach offers a fine analysis from global characteristics via the generated Radon profiles. The basic idea is to exploit the directional properties of Radon transform in order to extract new global features from fingerprint images, which could be considered as a set of oriented patterns. A global structural similarity based on these directional features is then derived. This new approach does not necessitate any pre-processing and treatments as in classical fingerprint identification methods. To evaluate the performance of the proposed method, some fingerprints images are used. The obtained results confirm the efficiency of the method in terms of flexibility, simplicity and quality of identification.

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基于Radon变换的指纹识别

本文提出了一种基于Radon变换的指纹识别新方法，以替代基于极小值的指纹识别方法。由于基于这些局部特征“细节”的现有方法已经达到了成功率饱和的程度，本文旨在通过提出一种不同的方法来打开指纹分析的新门户。这种方法可以通过生成的氡剖面从全球特征进行精细分析。其基本思想是利用Radon变换的方向性，从指纹图像中提取新的全局特征，将其视为一组定向模式。然后基于这些方向特征推导出全局结构相似度。该方法不需要像传统指纹识别方法那样进行任何预处理和处理。为了评估该方法的性能，使用了一些指纹图像。结果表明，该方法具有灵活、简便、鉴定质量好等优点。

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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来源期刊

2008 First Workshops on Image Processing Theory, Tools and Applications

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