2012
DOI: 10.1016/j.eswa.2012.05.079
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Palm vein recognition using adaptive Gabor filter

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Cited by 114 publications
(74 citation statements)
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“…Then, the distance function is utilized to measure the similarity for authentication and recognition, but the regions to be matched must be highly aligned. As a result, the accurate palm vein ROI should be extracted based on two finger valley points first [3,4,22,23]. Because the vein texture spreads over the whole palm area, including the fingers, extracting a sub-region of the palm as the ROI will result in the loss of feature information.…”
Section: 1. Roi Extractionmentioning
confidence: 99%
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“…Then, the distance function is utilized to measure the similarity for authentication and recognition, but the regions to be matched must be highly aligned. As a result, the accurate palm vein ROI should be extracted based on two finger valley points first [3,4,22,23]. Because the vein texture spreads over the whole palm area, including the fingers, extracting a sub-region of the palm as the ROI will result in the loss of feature information.…”
Section: 1. Roi Extractionmentioning
confidence: 99%
“…Therefore, image enhancement is generally conducted before feature extraction to decrease the effect on the subsequent feature extraction and improve performance. Some related studies [3,23] adopted histogram equalization to normalize and enhance vein images; others [4,22] estimated the local mean intensity as the background illumination and then enhanced the original image by subtracting the background illumination. Considering these approaches, we presented a novel hierarchical enhancement strategy, Difference of Gaussian (DoG) and Histogram Equalization (DoG-HE), in our previous work.…”
Section: Image Enhancementmentioning
confidence: 99%
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“…The recognition rate is very good using palm vein [45]. Experiments show that this approach is feasible and effective [46]. False acceptance rate is 0.0008% and false reject rate is 0.01% [47].…”
Section: H Palm Vein Authentication Systemmentioning
confidence: 99%
“…In terms of acquisition, it is possible to design contactless vein pattern acquisition systems; such systems are often more easily accepted by users as any perception of discomfort is minimized and the likelihood of cross contamination is reduced. It is also important to note that the palm is generally the most reliable hand region from which to obtain vein patterns for biometrics, as this region does not normally exhibit hair growth that may affect the quality of the images captured [3].…”
Section: Introductionmentioning
confidence: 99%