Study on algorithm for skeleton features extraction of hand vein image
Sun Mao-hang · Journal of Computer Applications · 2007
Biometric identification technology based on hand vein subcutaneous network structure appears as a promising technique for personal recognition.The contrast of hand vein image is enhanced by using Wiener filter,normalized mode,gray level stretching,sharpening and so on.After binary image was obtained,four-domain region growing algorithm was presented to differentiate and get rid of the noise areas.The quick thinning algorithm was adopted,which had many advantages such as complete thinning,fast speed,maintenance of minutiae,and so on.After hand vein image skeleton was analyzed,the method for extracting the crossing points was proposed to solve the problems met in the feature extraction.The burr,other kind of noise,was introduced by thinning algorithm.On the basis of the burr of the hand vein image,an algorithm for deburring was presented.The experiments show that the new algorithm could make the skeleton express geometric structure of the hand vein image.