Contactless robust 3D palm-print identification using photometric stereo
Contactless robust 3D palm-print identification using photometric stereo
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DOI：
10.1117/12.2595439
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发表时间：
2021-08
期刊：
影响因子：
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通讯作者：
Lyndon N. Smith;Max P. Langhof;M. Hansen;Melvyn L. Smith
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文献类型：
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作者：
Lyndon N. Smith;Max P. Langhof;M. Hansen;Melvyn L. Smith
掌纹作为一种可靠的生物识别技术引起了人们相当大的兴趣，因为它们具有显著的优势，比如比指纹或虹膜识别更容易被用户接受。2D系统可以被一张手的照片欺骗；然而，3D通过恢复和分析3D纹理和轮廓避免了这一点。3D掌纹也可以以非接触式方式获取，这对于确保卫生(这一点在新冠肺炎等流行病中尤为重要)和易用性至关重要。在以前的工作中，低分辨率皱纹研究和高分辨率掌纹识别之间的差距在这里使用高分辨率非接触光度立体技术来弥合。相机和光源与图像捕捉同步，从手掌恢复高清晰度3D纹理数据，然后分析这些数据以提取脊纹和皱纹。这种新的低成本方法可以容忍不受限制的非接触式掌纹采集所固有的失真，获得了0.1%的等价性
Palmprints are of considerable interest as a reliable biometric, since they offer significant advantages, such as greater user acceptance than fingerprint or iris recognition. 2D systems can be spoofed by a photograph of a hand; however, 3D avoids this by recovering and analysing 3D textures and profiles. 3D palmprints can also be captured in a contactless manner, which is critical for ensuring hygiene (something that is particularly important in relation to pandemics such as COVID-19), and ease of use. The gap in prior work, between low resolution wrinkle studies and high-resolution palmprint recognition, is bridged here using high-resolution non-contact photometric stereo. A camera and illuminants are synchronised with image capture to recover high-definition 3D texture data from the palm, which are then analysed to extract ridges and wrinkles. This novel low-cost approach, which can tolerate distortions inherent to unconstrained contactless palmprint acquisition, achieved a 0.1% equ