Pattern Recognition for Veins and Feature Extraction Techniques

Abstract

Among the biometric system approaches, the Vein Pattern Recognition (VPR) is one of the rapidly expanding aspects of medical image enhancement and scanning. Whereas the ideology behind the technique is modest, there are some problems reported throughout the implementation and designing of vein scanning devices, regarding the hardware lighting framework and the real algorithms utilized for the implementation and processing of a number of images. To maintain the scanning issues to minimize measure, the images from the cameras have to be nearly noiseless and the algorithms have to be capable of detecting the patterns of the veins in different actual-life scenarios. Most implementations of the approach have been commercialized which makes it necessary to launch a system which can extract, analyse and detect the precise human vein patterns whereas maintaining the minimal costs and minimizing the computation requirements of image processing algorithms. Based on that this provides a critical survey of pattern recognition for VPR. Moreover, it provides the hardware processing and implementation remedies based on the approach.