[1]李倩颖,阮秋琦.分辨率LBP的掌纹特征提取[J].智能系统学报,2010,5(6):482-486.
LI Qian-ying,RUAN Qiu-qi.Palmprint feature extraction based on multiresolution LBP[J].CAAI Transactions on Intelligent Systems,2010,5(6):482-486.
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LI Qian-ying,RUAN Qiu-qi.Palmprint feature extraction based on multiresolution LBP[J].CAAI Transactions on Intelligent Systems,2010,5(6):482-486.
分辨率LBP的掌纹特征提取
《智能系统学报》[ISSN 1673-4785/CN 23-1538/TP] 卷:
5
期数:
2010年第6期
页码:
482-486
栏目:
学术论文—人工智能基础
出版日期:
2010-12-25
- Title:
- Palmprint feature extraction based on multiresolution LBP
- 文章编号:
- 1673-4785(2010)06-0482-05
- Keywords:
- palmprint identification; NSCT; LBP; shiftinvariant; rotation invariant
- 分类号:
- TP391.41
- 文献标志码:
- A
- 摘要:
- 为了研究NSCT变换（nonsubsampled contourlet transform，NSCT）和局部二值模式（local binary pattern，LBP）在掌纹识别应用方面的可行性和性能，提出了一种基于NSCT变换与局部二值模式相结合的掌纹特征提取算法.该方法能够较好地提取皱褶、乳突纹等掌纹的细节特征，并且能够有效减少掌纹识别中由于图像的平移、旋转和光照对识别结果造成的影响.使用NSCT变换可以稀疏地表示二维奇异曲线并且变换本身具有平移不变性；而LBP算子是一种有效的纹理描述算子并且该算子具有很好的灰度和旋转不变性.首先对掌纹图像进行NSCT变换，然后对变换后的掌纹子图提取局部多分辨率和多尺度的LBP特征.实验结果表明，该算法能够更好地表达掌纹纹线的细节和结构特征，对掌纹图像有更高的鉴别性.
- Abstract:
- In order to study the feasibility and performance of the nonsubsampled contourlet（NSCT） and local binary pattern（LBP）operation in palm recognition, this paper presented a palmprint identification approach, which was the combinations of NSCT and LBP operation. It can effectively extract detail features of palmprint and reduce the influence on the shift, rotation and illumination of palmprint identification. The NSCT provides sparse representation at both spatial and directional resolution and is a fully shiftinvariant. LBP is a powerful texture descriptor that is grayscale and rotation invariant.In this paper，we extracted multiresolution and directional local binary pattern histogram to represent the local features of a palmprint image after NSCT. The results of experiments illustrate that this identification approach is efficient and effectively extract details and structure of palmprint.
- 参考文献/References:
-
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ZHU Leqing, ZHANG Sanyuan, ZHANG Yin, et al. Palmprint recognition based on probability template and fuzzy logic［J］. Patten Recognition and Artificial Intelligence, 2009, 22(3): 468474.
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- 相似文献/References:
-
[1]金怡凡,王海涛,贾伟.使用掌纹线对基于深度学习的掌纹识别进行数据增强[J].智能系统学报,2024,19(5):1178.[doi:10.11992/tis.202308026]
JIN Yifan,WANG Haitao,JIA Wei.Using palmprint lines for data enhancement of palmprint recognition based on deep learning[J].CAAI Transactions on Intelligent Systems,2024,19():1178.[doi:10.11992/tis.202308026]
备注/Memo
收稿日期：2010-03-24.
基金项目：国家自然科学基金资助项目（60973060）；高等学校博士学科点专项科研基金资助项目（20080004001）.
通信作者：李倩颖.E-mail:kim1128910@sina.com.
作者简介：
李倩颖，女，1985年生，硕士研究生，主要研究方向为计算机视觉、数字图像处理、信号与信息处理.
阮秋琦，男，1944年生，教授，博士生导师，主要研究方向为数字图像处理、模式识别等,国务院学位委员会学科评议组成员, IEEE高级会员等.发表学术论文350余篇.
更新日期/Last Update:
2011-03-03