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| 基于特征融合的指纹质量评估算法 | |
| 引用本文： | 马丽红,余德聪,卢汉清,陈志清.基于特征融合的指纹质量评估算法[J].华南理工大学学报(自然科学版),2007,35(5):20-24. |
| 作者姓名： | 马丽红 余德聪 卢汉清 陈志清 |
| 作者单位： | 1. 华南理工大学,电子与信息学院,广东,广州,510640 2. 中国科学院自动化研究所,模式识别国家重点实验室,北京,100080 3. 广东省公安厅,刑事技术中心,广东,广州,510050 |
| 基金项目： | 国家自然科学基金 , 广东省自然科学基金 |
| 摘 要： | 针对公安刑侦指纹库中指纹质量参差不齐的问题,提出一种基于指纹图的空间和频率特征融合的指纹质量评估算法.首先用中心区域黑像素比例、环形谱结构和Gabor方向特征来单独评估指纹质量,分析各种特征的评估性能.然后,根据各评估特征对不同质量类型指纹的评估特性,给出一种新的非线性指纹评估准则,它通过对3种质量特征的评估结果进行非线性融合加权来计算指纹的质量评估分数.在公安刑侦指纹库上测试了该评估准则,结果表明,文中提出的非线性融合评估方法能够准确地评估指纹质量. |
| 关 键 词： | 指纹 质量评估 算法 非线性融合 Gabor特征 黑像素比例 特征融合 指纹 质量评估 评估算法 Feature Fusion Based Quality Fingerprint Algorithm 评估方法 评估结果 测试 计算 加权 线性融合 质量特征 评估准则 非线性 特性 类型 |
| 文章编号： | 1000-565X（2007）05-0020-05 |
| 修稿时间： | 2006-05-09 |
Evaluation Algorithm of Fingerprint Quality Based on Feature Fusion |
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| Ma Li-hong,Yu De-cong,Lu Han-qing,Chen Zhi-qing.Evaluation Algorithm of Fingerprint Quality Based on Feature Fusion[J].Journal of South China University of Technology(Natural Science Edition),2007,35(5):20-24. | |
| Authors: | Ma Li-hong Yu De-cong Lu Han-qing Chen Zhi-qing |
| Institution: | 1. School of Electronic and Information Engineering, South China Univ. of Tech. , Guangzhou 510640, Guangdong, China; 2. National Laboratory of Pattern Recognition of Automation Institute, Chinese Academy of Sciences, Beijing 100080, China; 3. Criminal Tech. Center, Dept. of Public Security of Guangdong Province, Guangzhou 510050, Guangdong, China |
| Abstract: | In order to solve the problem of quality difference in fingerprint in public security fingerprint database, a new fusion method to evaluate fingerprint quality is proposed by combining the spatial and the frequency features of a fingerprint image. In this method, the black-pixel ratio in the central area, the ring structure of Fourier spectrum and the directional Gabor features are first employed to respectively assess the fingerprint quality, and their corresponding evaluation performances are discussed. Then, according to the evaluation capacities of these features for different quality images, a nonlinear fusion approach is presented to obtain the final quality scores by weighing the nonlinear fusion of the features mentioned above. The fusion criterion is finally tested in a public security fingerprint database, the results demonstrate that the proposed nonlinear fusion algorithm is feasible in fingerprint quality evaluation. |
| Keywords: | fingerprint quality evaluation algorithm nonlinear fusion Gabor feature black pixel ratio |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |