An Image Rotation Approach for Hand Dorsal Vein Recognition

Ignacio Irving Morales-Montiel, J. Arturo Olvera-López, Ivan Olmos-Pineda
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
more » ... we propose an approach based on central hand points for auto-rotating hand thermal images; based on the results our approach is able to rotate images from different orientations and obtains homogeneous alignment of the tested images.
doi:10.13053/rcs-99-1-10 fatcat:i7hpk3v2nfbc3kwadgg57fxsjm