Biometrics on mobile device
113 p.
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Format: | Thesis |
Published: |
2011
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Online Access: | http://hdl.handle.net/10356/46785 |
_version_ | 1826110431959187456 |
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author | Ren, Jianfeng |
author2 | Jiang Xudong |
author_facet | Jiang Xudong Ren, Jianfeng |
author_sort | Ren, Jianfeng |
collection | NTU |
description | 113 p. |
first_indexed | 2024-10-01T02:34:19Z |
format | Thesis |
id | ntu-10356/46785 |
institution | Nanyang Technological University |
last_indexed | 2024-10-01T02:34:19Z |
publishDate | 2011 |
record_format | dspace |
spelling | ntu-10356/467852023-07-04T15:03:12Z Biometrics on mobile device Ren, Jianfeng Jiang Xudong School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Biometrics 113 p. In this dissertation, a complete face recognition system, including face detection, alignment and verification is developed on mobile device. The face recognition system prototype is built on 02 XDA Flame mobile phone running at 1 frame per 2 second, which is almost capable for real-time face recognition application. Face detection and face verification are based on subspace method - one of state-of-art techniques for face recognition. Face alignment is achieved through eye detection and it is very fast. It takes only 66~78 ms when running on mobile device or less than 2 ms when running on Intel Due CPU @2.66GHz. Master of Science (Signal Processing) 2011-12-23T09:53:25Z 2011-12-23T09:53:25Z 2009 2009 Thesis http://hdl.handle.net/10356/46785 Nanyang Technological University application/pdf |
spellingShingle | DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Biometrics Ren, Jianfeng Biometrics on mobile device |
title | Biometrics on mobile device |
title_full | Biometrics on mobile device |
title_fullStr | Biometrics on mobile device |
title_full_unstemmed | Biometrics on mobile device |
title_short | Biometrics on mobile device |
title_sort | biometrics on mobile device |
topic | DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Biometrics |
url | http://hdl.handle.net/10356/46785 |
work_keys_str_mv | AT renjianfeng biometricsonmobiledevice |