Proceedings of the International Conference on Logistics, Engineering, Management and Computer Science

The study on low-quality images Geometric Facial Feature Extraction

Authors
Xueping Liu
Corresponding Author
Xueping Liu
Available Online May 2014.
DOI
10.2991/lemcs-14.2014.68How to use a DOI?
Keywords
Fac Recognition; Low-quality Image; Geometric Feature; Wavelet Transform; Feature Extraction
Abstract

Face recognition method is a heatedly discussed topic in the field of current pattern recognition and artificial intelligence. Although the face recognition technology has made great achievements, most of the face recognition technologies only focus on the high-resolution images in algorithm design and model training, because the human face images have different sources, some images exhibit very poor resolution, such as fuzzy, high noise and low resolution, which have increased the difficulty of image recognition. Based on the characteristics of low-quality images, this paper first uses wavelet transform to preprocess the images to improve the extraction accuracy of geometric features, adopts the geometric feature normalization method, compares the different selection methods’ pros and cons for the face image geometric feature, obtains the corresponding selection method, and effectively improves the recognition effect. This paper describes the experimental analysis of algorithm in the C++ platform. The results show that the algorithm solves the failed recognition of low-quality face images, and improves the face recognition capabilities towards such images.

Copyright
© 2014, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the International Conference on Logistics, Engineering, Management and Computer Science
Series
Advances in Intelligent Systems Research
Publication Date
May 2014
ISBN
10.2991/lemcs-14.2014.68
ISSN
1951-6851
DOI
10.2991/lemcs-14.2014.68How to use a DOI?
Copyright
© 2014, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Xueping Liu
PY  - 2014/05
DA  - 2014/05
TI  - The study on low-quality images Geometric Facial Feature Extraction
BT  - Proceedings of the International Conference on Logistics, Engineering, Management and Computer Science
PB  - Atlantis Press
SP  - 290
EP  - 293
SN  - 1951-6851
UR  - https://doi.org/10.2991/lemcs-14.2014.68
DO  - 10.2991/lemcs-14.2014.68
ID  - Liu2014/05
ER  -