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3D reconstruction from planar points: A candidate method for authentication of fingerprint images captured by mobile devices

机译:从平面点进行3D重建:一种用于验证移动设备捕获的指纹图像的候选方法

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With the widely application of mobile commerce (m-commerce), there is an urgent need to introduce identity authentication mechanism to mobile devices and make m-commerce secure to users. Since fingerprints can be viewed as an important characteristic of a natural person, fingerprint authentication (FA) can provide excellent access control for mobile phone users. Generally speaking, there exist two methods for applying of FA to mobile devices: one solution is trying to introduce an extra sensor to a mobile device, the other solution is trying to authenticate an image captured by a mobile device directly. However, the drawback of the first method is that devices with specific sensors are usually unavailable, the critical difficulty for the second solution comes from minutiae matching since different images would be obtained by a camera with different snap in different positions are different. Facing with these difficulties, this paper trying to provide a possible novel method which combines 3D reconstruction with minutiae matching: reconstruction of 3D minutiae from two 2D images first and then match the obtained image with the reconstructed 3D minutiae.
机译:随着移动商务(m-commerce)的广泛应用,迫切需要向移动设备引入身份认证机制,并使移动商务对用户安全。由于指纹可以看作自然人的重要特征,因此指纹认证(FA)可以为移动电话用户提供出色的访问控制。一般而言,存在将FA应用于移动设备的两种方法:一种解决方案试图向移动设备引入额外的传感器,另一种解决方案试图直接对移动设备捕获的图像进行身份验证。但是,第一种方法的缺点是通常无法使用带有特定传感器的设备,第二种解决方案的关键困难来自细节的匹配,因为通过具有不同位置的快照的相机将获得不同的图像,因此它们是不同的。面对这些困难,本文试图提供一种将3D重建与细节匹配相结合的可能的新颖方法:首先从两个2D图像重建3D细节,然后将获得的图像与重建的3D细节进行匹配。

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