Extraction and Refinement of Fingerprint Orientation Field

Maponi, Pierluigi; Piergallini, Riccardo; Santarelli, Filippo

doi:10.5121/csit.2017.71105

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Image Equalisation1

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2017

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“…valleys. The equalised imageI is computed by a piece-wise linear transformation that maps the threshold value in the middle of the histogram, and removes small grey values variations around 0 and L − 1 which are often useless, see [22] for a detailed description of this equalization step.…”

Section: Image Equalisationmentioning

confidence: 99%

Fingerprint Orientation Refinement Through Iterative Smoothing

Maponi¹,

Piergallini²,

Santarelli³

2017

SIPIJ

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We propose a new gradient-based method for the extraction of the orientation field associated to a fingerprint, and a regularisation procedure to improve the orientation field computed from noisy fingerprint images. The regularisation algorithm is based on three new integral operators, introduced and discussed in this paper. A pre-processing technique is also proposed to achieve better performances of the algorithm. The results of a numerical experiment are reported to give an evidence of the efficiency of the proposed algorithm.

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Section: Image Equalisationmentioning

confidence: 99%