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Reseach Article

Facial Recognition based on Histogram Matching with Adaptive Threshold

by Luong Anh Tuan Nguyen
Communications on Applied Electronics
Foundation of Computer Science (FCS), NY, USA
Volume 7 - Number 8
Year of Publication: 2017
Authors: Luong Anh Tuan Nguyen

Luong Anh Tuan Nguyen . Facial Recognition based on Histogram Matching with Adaptive Threshold. Communications on Applied Electronics. 7, 8 ( Oct 2017), 1-5. DOI=10.5120/cae2017652702

@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 = { Oct 2017 },
volume = { 7 },
number = { 8 },
month = { Oct },
year = { 2017 },
issn = { 2394-4714 },
pages = { 1-5 },
numpages = {9},
url = { },
doi = { 10.5120/cae2017652702 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2023-09-04T20:03:18.318072+05:30
%A Luong Anh Tuan Nguyen
%T Facial Recognition based on Histogram Matching with Adaptive Threshold
%J Communications on Applied Electronics
%@ 2394-4714
%V 7
%N 8
%P 1-5
%D 2017
%I Foundation of Computer Science (FCS), NY, USA

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%.

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Index Terms

Computer Science
Information Sciences


Facial Recognition Histogram Histogram Matching Cross- Correlation Coefficient Adaptive Threshold