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A Novel Overlapping Fingerprint Partition and Reconstruction Based on Vector Flow Method

机译：基于矢量流方法的新型重叠指纹分区与重构

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摘要

Fingerprint is one of human biological characteristic which its uniqueness is proved. In recent year, fingerprint recognition has been becoming an adventure technique, and it is applied on identification for security and privacy regularly. However, it has a problem when fingerprints pattern on the same position. The problem happens from crime scene investigation normally, and it is difficult to recognize. Therefore, how to repair or reconstruct overlapping fingerprints is a problem to research. In this paper, we propose a method to separate and reconstruct two overlapping fingerprints. The Bandelet image inpainting method is combined with contourlet which enhances image and detects gradient vector flow (GVF). And the overlapping part is detected, separated and reconstructed to support criminal identification. In experimental result, the overlapping part of two fingerprints is reconstructed through its non-overlapping part effectively. Our proposed method provides automatic overlapping part detection and reconstruction on two fingerprints processing. It is useful for crime scene investigation.
机译：指纹是证明其独特性的人类生物学特征之一。近年来，指纹识别已成为一种冒险技术，并定期用于安全性和隐私性的识别。然而，当指纹在相同位置上图案时，存在问题。该问题通常是从犯罪现场调查中发生的，并且很难识别。因此，如何修复或重建重叠的指纹是研究的问题。在本文中，我们提出了一种分离和重建两个重叠指纹的方法。 Bandelet图像修复方法与Contourlet相结合，可以增强图像并检测梯度矢量流（GVF）。并且对重叠部分进行检测，分离和重建，以支持犯罪识别。在实验结果中，两个指纹的重叠部分通过其非重叠部分被有效地重建。我们提出的方法在两个指纹处理中提供了自动重叠部分的检测和重构。对于犯罪现场调查很有用。

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