Finger-vein　pattern　can　be　applied　to　personal　identification.　But　due　to　many　reasons,　the　captured　finger-vein　images　are　blurred　and　contain　a　lot　of　noise.　In　this　paper,　we　propose　a　new　method　to　enhance　the　contrast　of　the　finger-vein　image.　It　consists　of　three　parts:　wavelet　denoising,　contrast　enhancement　and　binary　image.　At　first,　we　perform　stationary　wavelet　decomposition　and　transform　the　image　into　four　frequency　bands:　low　frequency　band　LL,　middle　frequency　bands　LH　and　HL,　and　high　frequency　band　HH.　To　different　frequency　bands,　we　design　different　denoising　method.　Then　we　select　a　special　sort　of　histogram　template　equalization　method　to　enhance　the　contrast　of　the　finger-vein　image.　Finally,　we　get　the　binary　image　using　the　OTSU　method.　Our　experimental　results　in　this　paper　show　that　the　proposed　method　can　properly　enhance　the　contrast　of　the　finger-vein　image　and　gets　good　effect.　©　2010　IEEE.