Nowadays, palmprint verification is a novel and one of the most reliable biometrically based technology in applications of personal identification and authentication due to its high stability and uniqueness. The principal features of both Chinese character and palmprint are based on the line structure as feature descriptor. This idea prompts us to implement one of the most commonly used Chinese character recognition and reconstruction feature extraction technique, namely Zernike moment invariants (ZMI), in the application of human palmprint authentication. This technique is able to define the statistical and geometrical features containing the line structural information about palmprint. An experimental study about the verification rate of the palmprint authentication system using the Zernike moment invariants has been discussed here. Zernike moment invariant's orthogonality and translation, rotation and scale invariant properties promote itself as a widely used feature extraction alternative in a broad spectrum of applications in image analysis.
|Title of host publication||Proceedings of the 3rd IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2003|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Number of pages||4|
|ISBN (Electronic)||0780382927, 9780780382923|
|Publication status||Published - 2003|
|Event||3rd IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2003 - Darmstadt, Germany|
Duration: 2003 Dec 14 → 2003 Dec 17
|Name||Proceedings of the 3rd IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2003|
|Other||3rd IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2003|
|Period||03/12/14 → 03/12/17|
Bibliographical notePublisher Copyright:
© 2003 IEEE.
All Science Journal Classification (ASJC) codes
- Signal Processing