Study On Hand Vein Recognition Algorithm

The hand vein recognition is a new biologiacl feature recognition wich is devoloepd only several year.We can carry on the boday identification through the band vein.Compared with fingerprint recognition,vein rccognition has many advantages, such as safely,non-contact.Basde on the latest extensive discourse and tchnology journals in this field,this paper is trying to make studies on vein recognition system.Main works are as follows.(1) Vein pre-plcoessin.Its purpose is to move noise of vein image and improving definition of vein image,get the structure of the vein hand,change vein image to a single pels width image,which will be beneficial to the following feature extraction.Pre-processing includes image enhancement,binarization,de-noising, thinning and so on.In the image enhancement,the improving median filter and the enhanced algorithm based on CLAHE and top-hat transform are statemented. Experimental results show that the image has been markedly enhanced after making use of these algorithms,and better reflected the vein texture.(2) Vein feature extraction.Its purpose is to get all features from the pre-processing image,including image characteristic moment,ending and bifuecations and their topological relations.Seven invariant moments and wavelet moments were made to reflect the characteristics moment of hand vein image;the numbers of the ending and bifuecations and their segments demonsrated the geometry of hand vein;the topological relations of ending and bifuecations established,least square method was applied to fit the curve shape between them.Finally,the above-mentioned tow features decision-making integrated by employing information fusion technology.That improved the overall recognition performance of algorithm,and experimental results proved that the integration strategy was the best.