The Panoramic Views of Cloud IoT-Based M-Health Biometrics: Introduction and Review of the Existing Literature

The Panoramic Views of Cloud IoT-Based M-Health Biometrics: Introduction and Review of the Existing Literature

DOI: 10.4018/978-1-7998-4537-9.ch001
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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.
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Background Of Cloud Iot-Based Vein Imnage Enhancement Techniques

In the current era, security has become a primary concern for the public. Therefore, the biometric systems are increasingly gaining interest because of the easiness of technology-based individuality verification using an individual’s physical or behavioral characteristics. The robots do not have a vein biometric feature. Hence, the vein biometric is emerging from other modalities due to its strength and advantages over robots. Consumer devices including smart phones, tablet PCs, laptops, etc. show increased interest in biometric systems. One of the important things to be considered in designing and developing a biometric system for the consumer electronics market is execution speed. The biometric technologies use multifaceted, and computation concentrated image-processing algorithms that necessitate them to be implemented on authoritative computers for adequate processing time. However, handheld devices are usually having constraints in terms of resources and performance while being used in a cloud-based Internet of Things (IoT) environment.

The medical sensors are used to acquire the vein image of a person, and then authentication is processed using installed software of a computer system or embedded system. However, the software functioning of a vein based biometric cannot attain elevated computation performance in online systems because of non-availability online veins’ image capturing technologies. Researchers observe that a very high level of computation performance is essential for executing veins based systems in a cloud-integrated real-time environment. Hence, the improvements in hardware design can provide solutions for improving the performance of cloud-integrated veins based identification systems. However, the hardware design of the cloud-integrated biometric system is a challenging task for hardware design professionals. Though, researchers have proposed a small number of vein-based cloud-integrated biometric hardware designs, there is still enough space for performance improvement, especially in terms of computation time.

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