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Signature-Based Biometric Authentication

  • Chapter
Computational Intelligence in Digital Forensics: Forensic Investigation and Applications

Part of the book series: Studies in Computational Intelligence ((SCI,volume 555))

Abstract

In a modern, civilized and advanced society, reliable authentication and authorization of individuals are becoming more essential tasks in several aspects of daily activities and as well as many different important applications such as in financial transactions, access control, travel and immigration, healthcare etc. In some situations, when individual equipment is required for confirmation of one’s identity to other groups of people in order to make use of services or to achieve access to physical places, it is always necessary to declare self-identity and to prove the claim. Traditional authentication methods, which are based on knowledge (password-based authentication) or the utility of a token (photo ID cards, magnetic strip cards and key-based authentication), are less reliable because of loss, forgetfulness and theft.

These issues direct substantial attention towards biometrics as an alternative method for person authentication and identification. The word ‘biometric’ has been derived from the Greek words “Bio-metriks”, “Bio” which means life and “metriks” which means measures. Therefore a biometric is the measurement and statistical analysis of unchanging biological characteristics. Biometrics evaluate a person’s unique physical or behavioural traits to authenticate their identity. As biometric identifiers are unique to persons, they are more reliable in verifying identity than token-based and knowledge-based methods. In the last few years, substantial efforts have been devoted to the development of biometric-based authentication systems. Biometrics provide an expected and successful solution to the authentication problem, as it offers the construction of systems that can identify individuals by the analysis of their physiological or behavioural characteristics [1]. In fact, the field of biometrics is the science of using digital technologies and the intention of biometric systems is to perform the recognition or authentication of people based on some biological characteristics that are intrinsically unique for each individual. The effectiveness of a biometric system is measured mainly by the distinguishing attributes that are used to verify the identity. A large number of biometric traits have been investigated and some of them are nowadays used in several applications. Common physical traits include fingerprints, ear, hand or palm geometry, vein, retina, iris and facial characteristics [2]. Behavioural traits include voice, signature, keystroke pattern and gait.

A biometric scheme can either verify or identify the authentication of an individual. In verification mode, it authenticates the person’s identity on the basis of his/her claimed identity. In identification mode, it establishes the person’s identity (among those enrolled in a database) without the subjects having to claim their identity [3]. Among all other biometric traits, signature verification occupies an important and a very special place in the field of biometrics.

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Authors and Affiliations

  1. School of Information and Communication Technology, Griffith University, Gold Coast, Australia

    Srikanta Pal & Michael Blumenstein

  2. Indian Statistical Institute, CVPRU, Kolkata, India

    Umapada Pal

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  1. Srikanta Pal
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Editors and Affiliations

  1. Department of Software Engineering Faculty of Information and, Technical University of Malaysia Melaka (UTeM), Durian Tunggal, Malaysia

    Azah Kamilah Muda

  2. Department of Software Engineering Faculty of Info. and Comm. Tech., Technical University of Malaysia Melaka (UTeM), Durian Tunggal, Malaysia

    Yun-Huoy Choo

  3. Scientific Network for Innovation and Research Excellence, Machine Intelligence Research Labs (MIR Labs), Auburn, Washington, Washington, USA

    Ajith Abraham

  4. Dept. of Computer Sci. and Engineering Center of Excellence for Document, The State University of New York SUNY, Buffalo, New York, USA

    Sargur N. Srihari

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Pal, S., Pal, U., Blumenstein, M. (2014). Signature-Based Biometric Authentication. In: Muda, A., Choo, YH., Abraham, A., N. Srihari, S. (eds) Computational Intelligence in Digital Forensics: Forensic Investigation and Applications. Studies in Computational Intelligence, vol 555. Springer, Cham. https://doi.org/10.1007/978-3-319-05885-6_13

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