Color Face Recognition Based on Steerable Pyramid Transform and Extreme Learning Machines
Author
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-01-16
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
This paper presents a novel color face recognition algorithm by means of fusing color and local information.
The proposed algorithm fuses the multiple features derived from different color spaces.
Multiorientation and multiscale information relating to the color face features are extracted by applying Steerable Pyramid Transform (SPT) to the local face regions.
In this paper, the new three hybrid color spaces, Y S C r , Z n S C r , and B n S C r , are firstly constructed using the C b and C r component images of the Y C b C r color space, the S color component of the H S V color spaces, and the Z n and B n color components of the normalized X Y Z color space.
Secondly, the color component face images are partitioned into the local patches.
Thirdly, SPT is applied to local face regions and some statistical features are extracted.
Fourthly, all features are fused according to decision fusion frame and the combinations of Extreme Learning Machines classifiers are applied to achieve color face recognition with fast and high correctness.
The experiments show that the proposed Local Color Steerable Pyramid Transform (LCSPT) face recognition algorithm improves seriously face recognition performance by using the new color spaces compared to the conventional and some hybrid ones.
Furthermore, it achieves faster recognition compared with state-of-the-art studies.
American Psychological Association (APA)
Uçar, Ayşegül. 2014. Color Face Recognition Based on Steerable Pyramid Transform and Extreme Learning Machines. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-15.
https://search.emarefa.net/detail/BIM-1050413
Modern Language Association (MLA)
Uçar, Ayşegül. Color Face Recognition Based on Steerable Pyramid Transform and Extreme Learning Machines. The Scientific World Journal No. 2014 (2014), pp.1-15.
https://search.emarefa.net/detail/BIM-1050413
American Medical Association (AMA)
Uçar, Ayşegül. Color Face Recognition Based on Steerable Pyramid Transform and Extreme Learning Machines. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-15.
https://search.emarefa.net/detail/BIM-1050413
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1050413