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Match-on-Card for Secure and Scalable Biometric Authentication

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Advances in Biometrics

The majority of biometric systems in use today operate in a database environment. Whether it is a large-scale database such as US-VISIT or a small bank of biometrics stored on a server for logical access in an office, the solutions are based on insecure networks that are vulnerable to cyberattacks. Match-on-Card technology eliminates the need for the database by both storing and processing biometric data directly on a smartcard, providing a secure, privacy-enhancing biometric program with dynamic flexibility and scalability.

Over the years, biometric technology has proven to be a useful replacement for PINs and passwords irrespective of the market, the card technology, or the application. Advantages of using biometrics include security, speed, and user acceptance. However, biometrics has long been burdened by concerns over privacy and security.

Match-on-Card technology elevates biometrics from a mere PIN replacement to an integral part of a secure and privacy-enhancing smartcard solution. Matchon- Card technology takes biometric security and convenience one step further by performing the actual fingerprint match within the tamperproof environment of a smartcard. This removes the uncertainty of matching on a network-connected device, an external server, or a database, normally considered weak links in the security chain.

Match-on-Card creates a fully integrated biometrics solution for smartcards, which surpasses PINs and passwords in convenience, security, performance, and ease of use. The Match-on-Card technology was developed to meet the needs and demands of new markets and users of national ID and travel documents. Match-on-Card is becoming an integral part of high-security smartcards in many diverse markets.

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© 2008 Springer-Verlag London Limited

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Bergman, C. (2008). Match-on-Card for Secure and Scalable Biometric Authentication. In: Ratha, N.K., Govindaraju, V. (eds) Advances in Biometrics. Springer, London. https://doi.org/10.1007/978-1-84628-921-7_21

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  • DOI: https://doi.org/10.1007/978-1-84628-921-7_21

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-84628-920-0

  • Online ISBN: 978-1-84628-921-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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