An Optimal and Smarter Recognition Pattern Based on Eigen Visual Perception
Abstract: Biometrics is defined as the computerized recognition of individuals based on their behavioural and biological characteristics. It is a developing technology. Biometric authentication devices use unique traits or behavioral characteristics, such as fingerprints and voice recognition, to authenticate access to electronic assets. Because biometric information is unique to each person, fingerprints scans, for example, are an excellent way to ensure that the identification of users is sophisticated and complex enough. Unlike the use of other forms of authentication, such as passwords or tokens, biometric recognition provides a strong link between an individual and a claimed identity. One area where biometrics can provide substantial help is in guarding against attempts to establish fraudulent multiple identities or prevent identity fraud.
Keywords: Uml/class diagram, Data flow diagram, Test Case, Test Result
How to Cite?: Parveen Yadav, Rahul Kadian, "An Optimal and Smarter Recognition Pattern Based on Eigen Visual Perception", Volume 5 Issue 9, September 2016, International Journal of Science and Research (IJSR), Pages: 983-988, https://www.ijsr.net/getabstract.php?paperid=9091602, DOI: https://dx.doi.org/10.21275/9091602