Palm region extraction for contactless palmprint recognition
Palm region extraction for contactless palmprint recognition
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DOI：
10.1109/icb.2015.7139058
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发表时间：
2015-05
期刊：
影响因子：
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通讯作者：
Koichi Ito;Takuto Sato;Shoichiro Aoyama;S. Sakai;Shusaku Yusa;T. Aoki
中科院分区：
文献类型：
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作者：
Koichi Ito;Takuto Sato;Shoichiro Aoyama;S. Sakai;Shusaku Yusa;T. Aoki
掌纹区域提取是掌纹识别中最重要的过程之一，掌纹区域提取的准确性对识别性能有很大的影响。特别是在非接触式识别系统中，必须通过考虑各种手部姿势来从手掌图像中提取手掌区域。大多数传统的手掌区域提取方法都假设所有的手指都张开，一张手掌面对着摄像机。这种假设迫使用户以有限的姿势和位置定位他/她的手，从而削弱了非接触式掌纹识别系统的灵活性。针对上述问题，本文提出了一种对手部姿态具有鲁棒性的手掌区域提取方法。通过在包含不同手部姿势的手掌图像数据库和公共数据库上的一组实验，我们证明了该方法与传统方法相比具有更好的性能。
Palm region extraction is one of the most important processes in palmprint recognition, since the accuracy of extracted palm regions has a significant impact on recognition performance. Especially in contactless recognition systems, a palm region has to be extracted from a palm image by taking into consideration a variety of hand poses. Most conventional methods of palm region extraction assume that all the fingers are spread and a palm faces to a camera. This assumption forces users to locate his/her hand with limited pose and position, resulting in impairing the flexibility of the contactless palmprint recognition system. Addressing the above problem, this paper proposes a novel palm region extraction method robust against hand pose. Through a set of experiments using our databases which contains palm images with different hand pose and the public database, we demonstrate that the proposed method exhibits efficient performance compared with conventional methods.