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Erschienen in:
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2021 | OriginalPaper | Buchkapitel

On Performance Analysis of Biometric Methods for Secure Human Recognition

verfasst von : Annu Sharma, Shwetank Arya, Praveena Chaturvedi

Erschienen in: Recent Innovations in Computing

Verlag: Springer Singapore

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Abstract

In recent years, the necessity of secure and reliable human identification has led to increasingly fast growth in development and demand of biometric systems. Human recognition is the technique for identifying the person using their biological, chemical, and behavioral characteristics. Biometric system is a computer-based automatic system to establish identity of the users by using their biological and physiological traits. The most popular traits in modern applications are biological aspects of the prospective user for identification. Although using chemical traits of the human for identification is more accurate and reliable, but these are very difficult to achieve. In this paper, performance of automatic human recognition system is presented based on various parameters like users psychology, easiness of use, security, reliability, and market share. Furthermore, various analysis and comparison of different notable biometric techniques are discussed in tabular format. It has been observed that these systems provide authentication and recognition but security of these systems at template level is also one of the challenges for designers.

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Vorheriges Kapitel A Systematic Review on Various Techniques on Image Segmentation
Nächstes Kapitel Automatic System for Text Detection and Localization Using Cellular Automata
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Metadaten
Titel
On Performance Analysis of Biometric Methods for Secure Human Recognition
verfasst von
Annu Sharma
Shwetank Arya
Praveena Chaturvedi
Copyright-Jahr
2021
Verlag
Springer Singapore
Buch
Recent Innovations in Computing

Print ISBN: 978-981-15-8296-7

Electronic ISBN: 978-981-15-8297-4

Copyright-Jahr: 2021

DOI
https://doi.org/10.1007/978-981-15-8297-4_35

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