Multi-resolution analysis for ear recognition using wavelet features
Security is very important and in order to avoid any physical contact, identification of human when they are moving is necessary. Ear biometric is one of the methods by which a person can be identified using surveillance cameras. Various techniques have been proposed to increase the ear based recogn...
Saved in:
| Main Authors: | Shoaib, M., Basit, A., Faye, I. |
|---|---|
| Format: | Conference or Workshop Item |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.30603 / |
| Published: |
American Institute of Physics Inc.
2016
|
| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85006043643&doi=10.1063%2f1.4968150&partnerID=40&md5=d90d59d8aee03ee0938ef55ccea69ed3 http://eprints.utp.edu.my/30603/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Automatic speech recognition for dysphonic patients by using oriented local features
by: Ali, Z., et al.
Published: (2014) -
Age-Invariant Face Recognition Using Triangle Geometric Features
by: Ali, A.S.O., et al.
Published: (2015) -
Age-invariant face recognition system using combined shape and texture features
by: Ali, A.S.O., et al.
Published: (2015) -
Electromyography (EMG) signal recognition using combined discrete wavelet transform based on Artificial Neural Network (ANN)
by: Arozi, M., et al.
Published: (2017) -
Sparse Representation for Crowd Attributes Recognition
by: Nuhu Shuaibu, A., et al.
Published: (2017)