| 基于SURF算法和OpenCV的掌纹识别技术研究 |
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| 引用本文： | 周新宇,姚茂国,竺乐庆.基于SURF算法和OpenCV的掌纹识别技术研究[J].杭州电子科技大学学报,2012(3):45-48. |
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| 作者姓名： | 周新宇 姚茂国 竺乐庆 |
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| 作者单位： | 浙江工商大学计算机与信息工程学院,浙江杭州310018 |
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| 基金项目： | 浙江省科技厅资助项目（2010C31108）,浙江省教育厅资助项目（Y201119748） |
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| 摘 要： | 该文提出了一种基于快速鲁棒特征算法和OpenCV的掌纹识别方法。首先应用固定阈值法将手掌二值化,并提取出有效掌纹区域。然后用快速鲁棒特征算法提取并描述该区域的特征点,再通过随机采样一致性算法进行特征点之间的匹配。最后,通过一系列测试对该系统的性能进行了评估,实验结果证明该系统对掌纹图像的旋转、亮度和尺度变化具有较好的鲁棒性,且具有比较高的识别精度和时间性能。
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| 关 键 词： | 快速鲁棒特征 掌纹识别 鲁棒性 随机采样一致性算法 |
Research on Technique of Palmprint Recognition Based on SURF Algorithm and OpenCV |
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| ZHOU Xin-yu,YAO Mao-guo,ZHU Le-qing.Research on Technique of Palmprint Recognition Based on SURF Algorithm and OpenCV[J].Journal of Hangzhou Dianzi University,2012(3):45-48. |
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| Authors: | ZHOU Xin-yu YAO Mao-guo ZHU Le-qing |
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| Affiliation: | ( College of Computer Science and Information Engineering, Zhejiang Gongshang University, Hangzhou Zhejiang 310018, China) |
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| Abstract: | This paper proposed a method of palmpr/nt recognition based on SURF algorithm and OpenCV. Firstly, the image is binarized and the region of interest is segmented. The key points are extracted by using SURF algorithm, again random sample consensus （RANSAC） is used to match two feature sets. Finally, plen- ty of experiments are carried out to test the proposed method. The experimental results show that the system has good robustness to image rotation, translation, illumination and scale variations. |
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| Keywords: | SURF palmprint recognition robustness random sample consensus |
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