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Fingerprint Mosaicking
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It has been observed that the reduced contact area offered by solid-state fingerprint sensors do not provide sufficient information (e.g., minutiae) for high accuracy user verification. Further, multiple impressions of the same finger acquired by these sensors, may have only a small region of overlap thereby affecting the matching performance of the verification system. To deal with this problem, suggest a fingerprint mosaicking scheme that constructs a composite fingerprint image using multiple impressions. In the proposed algorithm, two impressions of a finger are initially aligned using the corresponding minutiae points. This alignment is used by the well-known iterative closest point algorithm (ICP) to compute a transformation matrix that defines the spatial relationship between the two impressions

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