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| Title: | A Rotational- and Translational-Invariant Palmprint Recognition System |
| Authors: | Panigrahy, S K
Jena, D
Jena, S K |
| Keywords: | Biometric
Palmprint
Security
Human Recognition
Feature Extraction |
| Issue Date: | 2008 |
| Citation: | Proceedings of the First International Conference on Data Engineering and Management, Tiruchirapalli, 9th February 2008, P 380-383 |
| Abstract: | Computer-aided personal recognition is
becoming increasingly important in our information
society. Biometric identification is an emerging
technology that can solve security problems in our
networked society. As the important implementation of
biometric technology, palmprint verification is one of
the most reliable personal identification methods.
Human palmprint recognition has become an active
area of research over the last decade. In this paper, a
new approach to the palmprint preprocessing phase is
presented. In real-time palmprint verification the input
subject to the scanner for image acquisition may suffer
rotational as well as translational variation. Because
while the user puts his/her palm on the scanner, the
angle and position of the palm may change. So,
different images are acquired by the scanner according
to the input each time. But in our paper we have
suggested a rotational- as well as translationalinvariant
scheme by which the above problem can be
ov... |
| Description: | Copyright for the article belongs to Proceedings Publishers |
| URI: | http://hdl.handle.net/2080/616 |
| Appears in Collections: | Conference Papers
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Size | Format |
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| 2. Proceedings-ICDEM-08.pdf | | 304Kb | Adobe PDF | View/Open |
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