| 引用本文: | 陈晖,舒欣,殷建平,等.一种改进的指纹图像局部方向场匹配方法.[J].国防科技大学学报,2011,33(5):161-166.[点击复制] |
| CHEN Hui,SHU Xin,YIN Jianping,et al.An Improved Local Orientation Field Matching Method on Fingerprint Images[J].Journal of National University of Defense Technology,2011,33(5):161-166[点击复制] |
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| 一种改进的指纹图像局部方向场匹配方法 |
| 陈晖1, 舒欣2, 殷建平1, 祝恩1 |
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(1.国防科技大学 计算机学院，湖南 长沙 410073;2.军事经济学院 襄樊分院，湖北 襄阳 441118)
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| 摘要: |
| 指纹方向场真实地反映了指纹图像中本质的纹理特征，包括了指纹的基本形状、结构和走势。定义了局部方向场图像的描述方法，可以根据纹理信息有效地描述并区分不同的细节点。在低质量指纹图像，特别是存在较严重非线性形变的指纹图像中，细节点方向属性不够可靠，使得以细节点对作为参考对齐局部方向场图像的方法效果不佳。提出一种改进的局部方向场图像对齐和匹配方法，能够明显改善局部对齐效果，提高局部匹配的准确性，从而更加有效地区分对应和不对应细节点。实验结果验证了提出方法的有效性。 |
| 关键词: 指纹识别 指纹方向场 局部对齐 局部匹配 指纹识别竞赛 |
| DOI： |
| 投稿日期：2011-03-02 |
| 基金项目:国家自然科学基金资助项目(60603015,60970034)；高等学校全国优秀博士学位论文作者资助项目(2007B4)；湖南省教育厅资助科研项目 |
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| An Improved Local Orientation Field Matching Method on Fingerprint Images |
| CHEN Hui1, SHU Xin2, YIN Jianping1, ZHU En1 |
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(1.College of Computer，National Univ. of Defense Technology，Changsha 410073，China;2.Xiangfan College，The Military Economics Academy，Xiangyang 441118，China)
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| Abstract: |
| Fingerprint orientation field describes the essential texture features in a fingerprint impression, including shape, structure and direction. A representation scheme is introduced to describe the local orientation field around a minutia, so as to describe and discriminate different minutiae based on the neighbor texture information. On poor-quality fingerprint images, especially when heavy nonlinear distortion exists, minutia direction is no longer reliable enough. As a result, it is not effective to align two local orientation field images with a minutiae pair as the reference. An improved alignment and matching method of local orientation field images is proposed, which can achieve much better performance and improve the matching accuracy more clearly. Experimental results show that the proposed method can evaluate the resemblance between two minutiae more effectively. |
| Keywords: fingerprint identification fingerprint orientation field local alignment local matching fingerprint verification competition |
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