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Content Provider | IEEE Xplore Digital Library |
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Author | Radhika, K.R. Sekhar, G.N. Venkatesha, M.K. |
Copyright Year | 2009 |
Description | Author affiliation: Information Science and Engineering, B.M.S.College of Engineering, Bangalore, India (Radhika, K.R.; Sekhar, G.N.) || Electronics and Communication Engineering, R.N.S.Institute of Technology, Bangalore, India (Venkatesha, M.K.) |
Abstract | In online applications, there is a foreseeable explosive growth in biometric personal authentication systems which are covenant with a measurable behavioral trait. Hand written object [HO] verification is the process used to recognize an individual, which is intuitive reliable indicator. Verification of a HO as a biometric modality still is a challenging field of research, as number of online and offline commercial applications use modern acquisition devices. The employment of HO verification with technology still remains open for novel methods due to inter-class and intra-class variations. This paper discusses the trajectory generation [TG] methods applicable for any HO verification, such as character recognition, handwriting verification, style classification, shape recognition and signature recognition, which are suitable for latest trend of mobile-commerce and web-commerce applications. |
Starting Page | 211 |
Ending Page | 215 |
File Size | 819320 |
Page Count | 5 |
File Format | |
ISBN | 9781424437566 |
DOI | 10.1109/MMCS.2009.5256700 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2009-04-02 |
Publisher Place | Morocco |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Authentication Biometrics Character recognition Shape control Handwriting recognition Data mining Personal digital assistants Robotics and automation Information science Reliability engineering Weibull model Lognormal models Beta-elliptical model |
Content Type | Text |
Resource Type | Article |
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