| 一种鲁棒的指纹奇异点检测方法 |
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| 引用本文： | 韩智,刘昌平. 一种鲁棒的指纹奇异点检测方法[J]. 计算机工程, 2006, 32(20): 30-32 |
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| 作者姓名： | 韩智 刘昌平 |
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| 作者单位： | 中国科学院自动化研究所,北京,100080;中国科学院研究生院,北京,100039;中国科学院自动化研究所,北京,100080 |
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| 摘 要： | 提出一种两阶段的奇异点检测方法。将指纹图像分块，求出各块的方向构成块方向图，并在块方向图的基础上利用邻域方向的分布分析结合改进的Poincare Index方法来确定奇异点所在的候选区域，对候选区域中的像素再通过计算局部方向变化率来确定奇异点的精确位置。将此方法用于对FVC2004 DB1_A指纹数据库的图像，实验结果表明这种方法对指纹图像中的噪声有很好的鲁棒性，并且计算简单快速，易于实现。
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| 关 键 词： | 指纹识别 奇异点 方向场 局部方向变化率 |
| 文章编号： | 1000-3428（2006）20-0030-03 |
| 收稿时间： | 2006-01-10 |
| 修稿时间： | 2006-01-10 |
A Robust Method of Singular Point Detection from Fingerprint Image |
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| HAN Zhi,LIU Changping. A Robust Method of Singular Point Detection from Fingerprint Image[J]. Computer Engineering, 2006, 32(20): 30-32 |
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| Authors: | HAN Zhi LIU Changping |
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| Affiliation: | (1. Institute of Automation, Chinese Academy of Sciences, Beijing 100080; 2. Graduate School of Chinese Academy of Sciences, Beijing 100039) |
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| Abstract: | A two-stage robust algorithm of singular points detection based on orientation features of fingerprint images is proposed. Candidate small blocks which may contain singular points are located with the integrated method of improved Poincare index calculation with the orientation distribution analysis of the block orientation images; Local orientation variance in the candidate blocks is computed and used to locate the position of singular points accurately. The algorithm is evaluated with images from FVC2004 DB I_A database and the experimental results prove the method accurate and efficient. |
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| Keywords: | Fingerprint identification Singular point Orientation image Local orientation variance |
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