Partial fingerprint matching is still a challenging problem to be solved. Modern devices like smartphones, laptops, PDAs etc are equipped with compact silicon based fingerprint sensors which may produce partial fingerprints. In this paper, we present partial fingerprint problem as quality issue. Performance of the fingerprint recognition system heavily depends on the quality of the fingerprint image. We evaluated NIST's NFIQ quality estimator as a performance predictor for Bozorth3 matching algorithm. We proposed new Quality estimator NFIQCore which is an extension of NFIQ with addition of core point feature. Experimental evaluation of proposed quality estimator is performed on FVC 2002 Db 1a. Replacing NFIQ with NFIQcore shows significant improvement on Equal Error Rate (EER) from 3.30 to 0.87.
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机译：部分指纹匹配仍然是有待解决的挑战性问题。诸如智能手机，笔记本电脑，PDA等的现代设备都配备了紧凑的基于硅的指纹传感器，可以产生部分指纹。在本文中，我们提出了部分指纹问题作为质量问题。指纹识别系统的性能在很大程度上取决于指纹图像的质量。我们评估了NIST的NFIQ质量估算器作为Bozorth3匹配算法的性能预测指标。我们提出了新的质量估算器NFIQCore，它是NFIQ的扩展，增加了核心点功能。对FVC 2002 Db 1a进行质量评估器的实验评估。用NFIQcore替换NFIQ可以将平均错误率（EER）从3.30显着提高到0.87。
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