A novel face recognition method based on fusion of LBP and HOG

Abstract As one of the hot topics in the field of computer vision research, face recognition technology has received significant attention due to its potentiality for a wide range of applications in government as well as commercial purposes. In practical applications, although several existing face...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Ting Chen, Tao Gao, Shuying Li, Xi Zhang, Jinpei Cao, Dachun Yao, Yh Li
Formato:	article
Lenguaje:	EN
Publicado:	Wiley 2021
Materias:	Photography TR1-1050 Computer software QA76.75-76.765
Acceso en línea:	https://doaj.org/article/f0182d396a044251a639bb812fbbdfa9
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:f0182d396a044251a639bb812fbbdfa9
record_format	dspace
spelling	oai:doaj.org-article:f0182d396a044251a639bb812fbbdfa92021-11-29T03:38:16ZA novel face recognition method based on fusion of LBP and HOG1751-96671751-965910.1049/ipr2.12192https://doaj.org/article/f0182d396a044251a639bb812fbbdfa92021-12-01T00:00:00Zhttps://doi.org/10.1049/ipr2.12192https://doaj.org/toc/1751-9659https://doaj.org/toc/1751-9667Abstract As one of the hot topics in the field of computer vision research, face recognition technology has received significant attention due to its potentiality for a wide range of applications in government as well as commercial purposes. In practical applications, although several existing face recognition methods have achieved good performances in specific scenes, they easily suffer from a sharp decline in recognition rate if affected by different conditions of light, expression, posture and occlusion. Among many factors, influences of complex illuminations on face recognition are particularly significant. To further improve the performance of the existing local binary pattern (LBP) operator, neighbourhood weighted average LBP (NWALBP) is first proposed for fully considering the strong correlations between pixel pairs in the neighbourhood, which extends the traditional LBP uni‐layer neighbourhood template window to the bi‐layer neighbourhood template window and calculates the weighted average of bi‐layer neighbourhood pixels in each direction. Then, inspired by center symmetric LBP (CS‐LBP), centre symmetric NWALBP (CS‐NWALBP) is further proposed, which can effectively reduce computation complexity by only comparing the weighted average values of the neighbourhood pixels that are symmetric about the centre pixel. Finally, by combining the merit of histogram of oriented gradient (HOG), a feature fusion algorithm named CS‐NWALBP+HOG is suggested. Several experiments have eventually demonstrated that our proposed algorithms have more robust performance under complex illumination conditions if compared with many other latest algorithms.Ting ChenTao GaoShuying LiXi ZhangJinpei CaoDachun YaoYh LiWileyarticlePhotographyTR1-1050Computer softwareQA76.75-76.765ENIET Image Processing, Vol 15, Iss 14, Pp 3559-3572 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Photography TR1-1050 Computer software QA76.75-76.765
spellingShingle	Photography TR1-1050 Computer software QA76.75-76.765 Ting Chen Tao Gao Shuying Li Xi Zhang Jinpei Cao Dachun Yao Yh Li A novel face recognition method based on fusion of LBP and HOG
description	Abstract As one of the hot topics in the field of computer vision research, face recognition technology has received significant attention due to its potentiality for a wide range of applications in government as well as commercial purposes. In practical applications, although several existing face recognition methods have achieved good performances in specific scenes, they easily suffer from a sharp decline in recognition rate if affected by different conditions of light, expression, posture and occlusion. Among many factors, influences of complex illuminations on face recognition are particularly significant. To further improve the performance of the existing local binary pattern (LBP) operator, neighbourhood weighted average LBP (NWALBP) is first proposed for fully considering the strong correlations between pixel pairs in the neighbourhood, which extends the traditional LBP uni‐layer neighbourhood template window to the bi‐layer neighbourhood template window and calculates the weighted average of bi‐layer neighbourhood pixels in each direction. Then, inspired by center symmetric LBP (CS‐LBP), centre symmetric NWALBP (CS‐NWALBP) is further proposed, which can effectively reduce computation complexity by only comparing the weighted average values of the neighbourhood pixels that are symmetric about the centre pixel. Finally, by combining the merit of histogram of oriented gradient (HOG), a feature fusion algorithm named CS‐NWALBP+HOG is suggested. Several experiments have eventually demonstrated that our proposed algorithms have more robust performance under complex illumination conditions if compared with many other latest algorithms.
format	article
author	Ting Chen Tao Gao Shuying Li Xi Zhang Jinpei Cao Dachun Yao Yh Li
author_facet	Ting Chen Tao Gao Shuying Li Xi Zhang Jinpei Cao Dachun Yao Yh Li
author_sort	Ting Chen
title	A novel face recognition method based on fusion of LBP and HOG
title_short	A novel face recognition method based on fusion of LBP and HOG
title_full	A novel face recognition method based on fusion of LBP and HOG
title_fullStr	A novel face recognition method based on fusion of LBP and HOG
title_full_unstemmed	A novel face recognition method based on fusion of LBP and HOG
title_sort	novel face recognition method based on fusion of lbp and hog
publisher	Wiley
publishDate	2021
url	https://doaj.org/article/f0182d396a044251a639bb812fbbdfa9
work_keys_str_mv	AT tingchen anovelfacerecognitionmethodbasedonfusionoflbpandhog AT taogao anovelfacerecognitionmethodbasedonfusionoflbpandhog AT shuyingli anovelfacerecognitionmethodbasedonfusionoflbpandhog AT xizhang anovelfacerecognitionmethodbasedonfusionoflbpandhog AT jinpeicao anovelfacerecognitionmethodbasedonfusionoflbpandhog AT dachunyao anovelfacerecognitionmethodbasedonfusionoflbpandhog AT yhli anovelfacerecognitionmethodbasedonfusionoflbpandhog AT tingchen novelfacerecognitionmethodbasedonfusionoflbpandhog AT taogao novelfacerecognitionmethodbasedonfusionoflbpandhog AT shuyingli novelfacerecognitionmethodbasedonfusionoflbpandhog AT xizhang novelfacerecognitionmethodbasedonfusionoflbpandhog AT jinpeicao novelfacerecognitionmethodbasedonfusionoflbpandhog AT dachunyao novelfacerecognitionmethodbasedonfusionoflbpandhog AT yhli novelfacerecognitionmethodbasedonfusionoflbpandhog
_version_	1718407683775660032

A novel face recognition method based on fusion of LBP and HOG

Ejemplares similares