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15、基于字典学习的指纹重建:从细节点到全图

更新时间:2015-08-01 14:39 点击:
  

 细节点集作为最具辨别性的指纹表示方法而被广泛应用于指纹匹配。传统观点认为细节点集缺乏足够信息故不能由其重建指纹图像,然而最新的研究却证明了细节点集重建指纹图像的可行性,尽管重建指纹与原始指纹的匹配性能还有很大差距。本文提出了一种基于指纹方向字典和连续相位字典的由细节点集重建指纹的方法,方向字典用于从细节点重建指纹方向场,连续相位字典用于由细节点重建指纹的脊线结构。

Learning Fingerprint Reconstruction: From Minutiae to Image
The set of minutia points is considered to be the most distinctive feature for fingerprint representation and is widely used in fingerprint matching. It was believed that the minutiae set does not contain sufficient information to reconstruct the original fingerprint image from which minutiae were extracted. However, recent studies have shown that it is indeed possible to reconstruct fingerprint images from their minutiae representations. But, there is still a large gap between the matching performance obtained from original fingerprint images and their corresponding reconstructed fingerprint images. In this paper, the prior knowledge about fingerprint ridge structures is encoded in terms of orientation patch and continuous phase patch dictionaries to improve the fingerprint reconstruction. The orientation patch dictionary is used to reconstruct the orientation field from minutiae, while the continuous phase patch dictionary is used to reconstruct the ridge pattern. 
 
 
              
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