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Facial Recognition based on Histogram Matching with Adaptive Threshold

Luong Anh Tuan Nguyen. Published in Image Processing.

Communications on Applied Electronics
Year of Publication: 2017
Publisher: Foundation of Computer Science (FCS), NY, USA
Authors: Luong Anh Tuan Nguyen
10.5120/cae2017652702

Luong Anh Tuan Nguyen. Facial Recognition based on Histogram Matching with Adaptive Threshold. Communications on Applied Electronics 7(8):1-5, October 2017. BibTeX

@article{10.5120/cae2017652702,
	author = {Luong Anh Tuan Nguyen},
	title = {Facial Recognition based on Histogram Matching with Adaptive Threshold},
	journal = {Communications on Applied Electronics},
	issue_date = {October 2017},
	volume = {7},
	number = {8},
	month = {Oct},
	year = {2017},
	issn = {2394-4714},
	pages = {1-5},
	numpages = {5},
	url = {http://www.caeaccess.org/archives/volume7/number8/768-2017652702},
	doi = {10.5120/cae2017652702},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}
}

Abstract

Facial recognition was a field that was extensively studied in the past years but it is still an active area of research. This paper proposes a new method by matching histogram with adaptive threshold. The proposed method is simple but effective and it can be use for real-time system. Publicly available AT&T database is used for the evaluation of the proposed method, which is consisted of 40 subjects with 10 images per subject containing variations in lighting, posing, and expressions. The proposed method provides a recognition rate higher than 99% and a verification error lower than 1%.

References

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Keywords

Facial Recognition, Histogram, Histogram Matching, Cross- Correlation Coefficient, Adaptive Threshold