Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICASSP.2005.1415345
Title: Peg-free human hand shape analysis and recognition
Authors: Xiong, W.
Xu, C.
Ong, S.H. 
Issue Date: 2005
Source: Xiong, W.,Xu, C.,Ong, S.H. (2005). Peg-free human hand shape analysis and recognition. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings II : II77-II80. ScholarBank@NUS Repository. https://doi.org/10.1109/ICASSP.2005.1415345
Abstract: This work addresses the problem of deformable hand shape recognition in biometric systems without positioning aids. We separate and recognize multiple rigid fingers. An elliptical model is introduced to represent fingers and accelerate the matching of them. Technically, our method bridges the traditional handcrafted-feature methods and the shape-distance methods. We have tested it using our 108-person-540-sample database with significantly increased positive recognition accuracy. © 2005 IEEE.
Source Title: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
URI: http://scholarbank.nus.edu.sg/handle/10635/71382
ISBN: 0780388747
ISSN: 15206149
DOI: 10.1109/ICASSP.2005.1415345
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

15
checked on Dec 11, 2017

Page view(s)

38
checked on Dec 16, 2017

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.