Fusion of Band Limited Phase Only Correlation and Width Centroid Contour Distance for finger based biometrics

Identity verification using shape and geometry of human hands

“…Score normalization becomes necessary because the ranges of scores using different modalities are varying and fusing it may lead to an incorrect interpretation. We combined the normalized the scores with z-score, max-division and min-max normalization methods (Mohd Asaari et al, 2014). Fig.…”

Interval valued fuzzy setsk-nearest neighbors classifier for finger vein recognition

“…In order to ascertain the performance improvement using the IVFKNN classifier scheme, we performed experiments on publicly available Finger Vein USM (FV-USM) image database [7]. The finger vein images were collected at two different sessions in which each subject contributes 24 finger vein images from 4 different fingers: left index, left middle, right index and right middle.…”

“…We have used publicly available finger vein images database [7] that were collected using the proposed acquisition devise explained in [7] from 123 volunteers in USM. The finger vein images were collected at two different sessions in which each subject contributes 24 finger vein images from four different fingers: left index, left middle, right index and right middle.…”

A Novel Approach for Finger Vein Pattern Enhancement using Gabor and Canny Edge Detector

“…Additionally, in [17], improved vein image was facilitated by using organize just relationship. Furthermore, surface (by using compcode) of the enhanced vein image was used for highlighting encoding as a piece of [18]. Algorithms which does not use vein extraction gives exact results if finger veins are acquired under controlled environment.…”

“…Finger vein image, the sample, which contains in figure 4a of a subject from Universiti Sains Malaysia (FV-USM) image database [18] was used under Gabor filter [19] and Canny edge detector [20] for extraction of edges the pattern vein. FV-USM finger vein dataset is a public dataset, which was developed by light transmission method, the finger is placed in between the infra-red (IR) source and image sensor.…”