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Partial Fingerprint Identification Algorithm Based-on the Modified Generalized Hough Transform on Mobile Device

机译:基于改进的广义霍夫变换的移动设备局部指纹识别算法

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Partial fingerprint identification technology which is mainly used in device with small sensor area like cellphone. U disk and computer, has taken more attention in recent years with its unique advantages. However, owing to the lack of sufficient minutiae points, the conventional method do not perform well in the above situation. We propose a new fingerprint matching technique which utilizes ridges as features to deal with partial fingerprint images and combines the modified generalized Hough transform and scoring strategy based on machine learning. The algorithm can effectively meet the real-time and space-saving requirements of the resource constrained devices. Experiments on in-house database indicate that the proposed algorithm have an excellent performance.
机译:部分指纹识别技术,主要用于手机等传感器面积较小的设备。 U盘和计算机以其独特的优势近年来受到了越来越多的关注。但是,由于缺少足够的细节点,因此传统方法在上述情况下效果不佳。我们提出了一种新的指纹匹配技术,该技术利用脊作为特征来处理部分指纹图像,并结合了基于机器学习的改进的广义Hough变换和评分策略。该算法可以有效满足资源受限设备的实时性和节省空间的要求。在室内数据库上的实验表明,该算法具有良好的性能。

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