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Modelling Plastic Distortion in Fingerprint Images

机译:在指纹图像中建模塑性畸变

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摘要

This paper introduces a plastic distortion model to cope with the non-linear deformations characterizing fingerprint images taken with on-line acquisition sensors. The problem has a great impact on several practical applications, ranging from the design of robust fingerprint matching algorithms to the generation of synthetic fingerprint images. The experimentation on real data validates the model and demonstrates its efficacy in registering minutiae data from highly distorted fingerprint samples.
机译:本文介绍了一种塑性失真模型,以应对具有在线采集传感器拍摄的指纹图像的非线性变形。问题对几种实际应用产生了很大影响,从鲁棒指纹匹配算法的设计范围到综合指纹图像的产生。实验对实际数据验证了模型,并在从高度扭曲的指纹样本中注册细节数据的效果验证。

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