2007 IEEE Workshop on Automatic Identification Advanced Technologies 2007
DOI: 10.1109/autoid.2007.380590
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Simple Fingerprint Minutiae Extraction Algorithm Using Crossing Number On Valley Structure

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Cited by 26 publications
(15 citation statements)
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“…We use the Crossing Number (CN ) method [11] to extract crease endings and bifurcations from the skeleton crease images by examining the local neighborhood of each crease point using a 3 × 3 window. The CN for a crease pixel is given by:…”
Section: Gabor Filteringmentioning
confidence: 99%
“…We use the Crossing Number (CN ) method [11] to extract crease endings and bifurcations from the skeleton crease images by examining the local neighborhood of each crease point using a 3 × 3 window. The CN for a crease pixel is given by:…”
Section: Gabor Filteringmentioning
confidence: 99%
“…One of the key techniques of fingerprint identification is fingerprint feature detection in which it is much important to keep the fingerprint rotation and shift invariant [1][2][3][4][5][6][7][8][9][10][11][12][13]. A novel technique for fingerprint feature extraction using fixed size templates is proposed in reference [1],but the fingerprint recognition is limited to partial rotation invariant.…”
Section: Introductionmentioning
confidence: 99%
“…There is a reliable method [4] to obtain the information which is capturing an image with the target characteristic information and processing the image. In general, the image-based biologic feature extraction method is mostly a single-band full-color image, which obtains target region shape [5][6][7][8][9] by calculating the shape of the image or filtering enhancement of the image. However, there are obvious defects in the traditional single-band full-color image.…”
Section: Introductionmentioning
confidence: 99%