Abstract
Recent advancements of biometrics identity verification are growing rapidly in this vastly interconnected techno-savvy society. In this information age, protection of valuable contents from the unauthorised intruders or illegal entry to high security zones has made these biometric systems crucial mechanism towards establishing a robust identity verification system. The thrust for reliable authentication methodologies are increasing due to security consciousness of people and also for growing advancement of civilian infrastructures by means of networking, communication, E-Governance, IT knowledge-based civic environment, etc. In the last two decades, a large number of computational intelligence (CI) based and non-linear synchronization based approaches have been thoroughly investigated in biometric authentication in terms of automatic feature detection, feature matching and association of adaptive parameters to the system. Although, it has been felt that the robust and invariant ways are necessary to process the system development from one biometric application to another. However, some incapable and negative constraints have made these biometric systems lack of inconvenience to a large group of end users. To cope up with these incapable factors in biometric systems successfully, Scale Invariant Feature Transform (SIFT) operator has been thoroughly investigated and proved to be invariant to image rotation, scaling, partly illumination changes, biometric authentication towards efficient identity verification.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2009 Atlantis Press/World Scientific
About this chapter
Cite this chapter
McCubbin, C., Cost, R.S., Cole, J., Kratzmeier, N., Dale, M., Bankman, D. (2009). The ActiveMetadata Framework. In: Agent-Based Ubiquitous Computing. Atlantis Ambient and Pervasive Intelligence, vol 1. Atlantis Press. https://doi.org/10.2991/978-94-91216-31-2_5
Download citation
DOI: https://doi.org/10.2991/978-94-91216-31-2_5
Publisher Name: Atlantis Press
Online ISBN: 978-94-91216-31-2
eBook Packages: Computer ScienceComputer Science (R0)