安全特征提取的后处理算法

2012 International Conference on E-Learning and E-Technologies in Education (ICEEE) Pub Date : 2012-10-18 DOI:10.1109/ICELETE.2012.6333392

R. M. Yusof, N. Sulaiman

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引用次数: 1

摘要

指纹识别的问题之一是寻找细节或脊线，这涉及到确定所评估的像素是否是有效的细节(脊线结束或脊线分叉)。通常在含有大量虚假细节和噪声的图像中检测细节。这可能会大大降低系统的匹配性能。提出了一种去除指纹特征中虚假细节和非成分的算法。

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Postprocessing algorithm for security features extraction

One of the issues of fingerprint recognition is finding minutiae or ridges, which involves deciding whether the pixel evaluated is a valid minutiae (ridge ending or ridge bifurcation) or not. Usually, the minutiae are detected in the thinned image which contains a large number of false minutiae and noises. Its may highly decrease the matching performance of the system. This paper proposes an algorithm which is used to eliminate spurious minutiae and non-component of fingerprint features.

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来源期刊

2012 International Conference on E-Learning and E-Technologies in Education (ICEEE)

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