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首页> 外文期刊>IEEE Transactions on Pattern Analysis and Machine Intelligence >Localized Dictionaries Based Orientation Field Estimation for Latent Fingerprints
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Localized Dictionaries Based Orientation Field Estimation for Latent Fingerprints

机译：基于局部字典的潜在指纹取向场估计

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摘要

Dictionary based orientation field estimation approach has shown promising performance for latent fingerprints. In this paper, we seek to exploit stronger prior knowledge of fingerprints in order to further improve the performance. Realizing that ridge orientations at different locations of fingerprints have different characteristics, we propose a localized dictionaries-based orientation field estimation algorithm, in which noisy orientation patch at a location output by a local estimation approach is replaced by real orientation patch in the local dictionary at the same location. The precondition of applying localized dictionaries is that the pose of the latent fingerprint needs to be estimated. We propose a Hough transform-based fingerprint pose estimation algorithm, in which the predictions about fingerprint pose made by all orientation patches in the latent fingerprint are accumulated. Experimental results on challenging latent fingerprint datasets show the proposed method outperforms previous ones markedly.
机译：基于字典的方向场估计方法已显示出对潜在指纹的有希望的性能。在本文中，我们试图利用更强的指纹先验知识来进一步提高性能。考虑到指纹的不同位置处的脊取向具有不同的特征，我们提出了一种基于字典的局部取向场估计算法，该算法将局部估计方法输出的某个位置的嘈杂取向补丁替换为本地字典中的真实取向补丁。相同的位置。应用局部字典的前提是需要估计潜在指纹的姿势。我们提出了一种基于霍夫变换的指纹姿态估计算法，该算法可以对潜在指纹中所有方向补丁产生的指纹姿态进行预测。在具有挑战性的潜在指纹数据集上的实验结果表明，该方法明显优于以前的方法。

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