Extraction of Region of Interest (ROI) for Palm Print and Inner Knuckle Print
Extraction of Region of Interest (ROI) for Palm Print and Inner Knuckle Print
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DOI：
10.5120/ijca2015905784
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发表时间：
2015-08
期刊：
影响因子：
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通讯作者：
M. Anitha;K. A. R. Rao;K. Delac;Mislav Grgic;C. Poon;D.C.M. Wong;H. C. Shen;Chin-Chuan Han-
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文献类型：
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作者：
M. Anitha;K. A. R. Rao;K. Delac;Mislav Grgic;C. Poon;D.C.M. Wong;H. C. Shen;Chin-Chuan Han-
提出了一种从数码相机拍摄的手部图像中提取掌纹和内指关节纹感兴趣区域的新方法。提出了一种新的手部候选关键点检测算法。提出了一种利用候选关键点定位掌纹和内指关节纹感兴趣区域的新方法。所提出的方法进行评估，使用在我们的研究所收集的数据库。所获得的结果是有前途的，并确认建议的ROI提取方法开发手的生物识别系统的实用性。关键词系统、ROI、掌纹、IKP。
paper proposes an novel approach to extract the Region of interest (ROI) for palm print and inner knuckle print(IKP) from hand images captured from a digital camera. An new algorithm to detect candidate key points on hand region is described. Using the candidate key points a novel approach to locate the ROI of palm print and inner knuckle print is proposed. The proposed approach is evaluated using the database collected at our institute. The results obtained are promising and confirm the usefulness of proposed ROI extraction approach for developing hand based biometric recognition systems. Keywordssystems, ROI, Palm print, IKP.