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An Image Rotation Approach for Hand Dorsal Vein Recognition
2015
Research in Computing Science
In Biometric recognition, commonly the information about the biometric to be analyzed is contained in digital images, in particular this work is focused on analyzing hand dorsal veins as biometric. A basic process during the recognition stage is the feature (minutiae) extraction; when images are captured from several people it is very difficult to obtain a global alignment and as consequence different orientation images are obtained which makes more difficult the feature extraction. In this
doi:10.13053/rcs-99-1-10
fatcat:i7hpk3v2nfbc3kwadgg57fxsjm