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Phase-based image matching and its application to biometric recognition

机译:基于相位的图像匹配及其在生物识别中的应用

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This paper presents an accurate image matching technique using phase information obtained by discrete Fourier transform of images and its application to biometric recognition. Most of biometric recognition algorithms employ computer vision, pattern recognition and image processing techniques or their combination. On the other hand, our approach using phase-based image matching is based on signal processing technique. Through a set of experiments for fingerprint, iris, face, palmprint and finger knuckle recognition, we demonstrate that our signal processing approach exhibits efficient performance for biometric recognition compared with the conventional approaches.
机译:本文介绍了一种准确的图像匹配技术,使用通过将图像的离散傅里叶变换及其应用于生物识别来获得的相位信息。大多数生物识别算法采用计算机视觉,模式识别和图像处理技术或其组合。另一方面,我们使用基于相位的图像匹配的方法基于信号处理技术。通过一组针对指纹,虹膜,面部,棕榈印象和手指指关节识别的实验,我们证明,与传统方法相比,我们的信号处理方法对生物识别识别表现出有效的性能。

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