Abstract
The veins-based biometric systems use the molds and patterns of the veins' images of the human body for identification in standalone systems or a cloud internet of things (IoT)-based networking environment. The beauty of using veins-based systems for identification is that the vein pattern cannot be stolen or duplicated or washed out because of its availability in the human body. Currently, vein patterns of fingers, hand, palm, heart, head, palm-dorsa, and wrist of humans are used for biometric identification purposed in cloud and IoT-based network environments. In this chapter, the authors have described different types of algorithms including parallel algorithms for identifying persons in clouds and IoT-based environments. The authors observed that many researchers have designed and developed several algorithms to improve and extract the veins patterns from different parts of the human body for identification in different types of environments including clouds and the internet of things.
Reference107 articles.
1. A rotation invariant rule-based thinning algorithm for character recognition
2. Vein detection system using infrared camera
3. The Palm Vein Graph - Feature Extraction and Matching.;A.Arakala;Proceedings of the 1st International Conference on Information Systems Security and Privacy,2015
4. Fusion of Band Limited Phase Only Correlation and Width Centroid Contour Distance for finger based biometrics
5. Bahisham & Yusoff. (2018). Improved Palm Dorsa Vein Image Enhancement and Feature Extraction – Hardware Design for Biometric System (PhD thesis). Universiti Putra Malaysia.