Wavelet-based personal identification

S. Takano; K. Niijima; K. Kuzume

doi:10.1109/ISSPIT.2003.1341098

Wavelet-based personal identification

S. Takano, K. Niijima, K. Kuzume

Advanced Information and Communication Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Citations (Scopus)

Abstract

This work presents a personal identification system based on the learning of the lifting dyadic wavelet filters. Our system consists of face learning, detection, and identification processes. In the learning process, free parameters in the lifting filters are determined so as to capture a facial part. Our face detection method is performed by applying the learned filters to each of the video frames. A person whose face is detected in a maximum number of frames is identified as a target person. In simulation, it is shown that our personal identification algorithm is fast and accurate.

Original language	English
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.
Pages	215-218
Number of pages	4
ISBN (Electronic)	0780382927, 9780780382923
DOIs	https://doi.org/10.1109/ISSPIT.2003.1341098
Publication status	Published - 2003
Event	3rd IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2003 - Darmstadt, Germany Duration: Dec 14 2003 → Dec 17 2003

Publication series

Name	Proceedings of the 3rd IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2003

Other

Other	3rd IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2003
Country/Territory	Germany
City	Darmstadt
Period	12/14/03 → 12/17/03

All Science Journal Classification (ASJC) codes

Signal Processing

Access to Document

10.1109/ISSPIT.2003.1341098

Cite this

Takano, S., Niijima, K., & Kuzume, K. (2003). Wavelet-based personal identification. In Proceedings of the 3rd IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2003 (pp. 215-218). Article 1341098 (Proceedings of the 3rd IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2003). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISSPIT.2003.1341098

Wavelet-based personal identification. / Takano, S.; Niijima, K.; Kuzume, K.
Proceedings of the 3rd IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2003. Institute of Electrical and Electronics Engineers Inc., 2003. p. 215-218 1341098 (Proceedings of the 3rd IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2003).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Takano, S, Niijima, K & Kuzume, K 2003, Wavelet-based personal identification. in Proceedings of the 3rd IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2003., 1341098, Proceedings of the 3rd IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2003, Institute of Electrical and Electronics Engineers Inc., pp. 215-218, 3rd IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2003, Darmstadt, Germany, 12/14/03. https://doi.org/10.1109/ISSPIT.2003.1341098

Takano S, Niijima K, Kuzume K. Wavelet-based personal identification. In Proceedings of the 3rd IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2003. Institute of Electrical and Electronics Engineers Inc. 2003. p. 215-218. 1341098. (Proceedings of the 3rd IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2003). doi: 10.1109/ISSPIT.2003.1341098

Takano, S. ; Niijima, K. ; Kuzume, K. / Wavelet-based personal identification. Proceedings of the 3rd IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2003. Institute of Electrical and Electronics Engineers Inc., 2003. pp. 215-218 (Proceedings of the 3rd IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2003).

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Wavelet-based personal identification

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