• Shaik Sonu
• B.Neelima
• A.Rajani
• Dr.Irala Suneetha

Biometrics is a way that identifies people with the help of physical human features. There are many ways of biometric identification and recognition systems such as fingerprints, face, iris and veins etc. However, these conventional methods have some problems with respect of performance and convenience. Every human hand has unique veins patterns. Hand veins based recognition is most feasible than all of other conventional methods especially because of its easy acquisition process and also difficult to forge hand vein pattern. The proposed sytem ‘Dorsal Hand Veins Biometric Recognition System Using Hybrid Algorithms is one of the biometric techniques which introduces the design and implementation of a system using QFT and Butterwort high pass filter algorithms is used to selecting ROI and to estimate the image ROI, edge and morphological filtering for future extraction. These algorithms give good accuracy for the specified region of interest. The first step is to pre-process the image and find the knuckle profile using grayscale thresholding and image inversion. Image segmentation is performed on the image to get the significant edges. The image is then processed to remove noise, and using morphological operations the vein pattern is signified. The region of interest is then cropped and a 1-pixel thick skeleton pattern is obtained using image thinning which is used as a feature for matching and recognition. Triangulation method using Delaunay’s principle is used to find vein bifurcations and endings using local thresholding. Finally triplets are matched and used as a parameter to compare image stored in database and input image. The proposed results have been improved when compared to the existing results. The proposed system have been developed in MATLAB 2013a version.

Digital Image Processing, Biometric, Dorsal Hand Veins, Vein recognition

"Authentication System through Hand Veins and Knuckle Shape", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 12, page no.174-179, December-2018, Available :http://www.jetir.org/papers/JETIR1812223.pdf

"Authentication System through Hand Veins and Knuckle Shape", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 12, page no. pp174-179, December-2018, Available at : http://www.jetir.org/papers/JETIR1812223.pdf