Open Set Sheep Face Recognition Based on Euclidean Space Metric

As the essential content of intelligent animal husbandry, identifying each livestock is the only way to achieve modern and refined scientific husbandry. This paper proposes a sheep face recognition method based on European spatial metrics and realizes noncontact sheep identity recognition by trainin...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Hongcheng Xue, Junping Qin, Chao Quan, Wei Ren, Tong Gao, Jingjing Zhao
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi Limited 2021
Materias:	Engineering (General). Civil engineering (General) TA1-2040 Mathematics QA1-939
Acceso en línea:	https://doaj.org/article/29011d3334384bbe8cf73ccdc10d0d53
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:29011d3334384bbe8cf73ccdc10d0d53
record_format	dspace
spelling	oai:doaj.org-article:29011d3334384bbe8cf73ccdc10d0d532021-11-22T01:11:09ZOpen Set Sheep Face Recognition Based on Euclidean Space Metric1563-514710.1155/2021/3375394https://doaj.org/article/29011d3334384bbe8cf73ccdc10d0d532021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/3375394https://doaj.org/toc/1563-5147As the essential content of intelligent animal husbandry, identifying each livestock is the only way to achieve modern and refined scientific husbandry. This paper proposes a sheep face recognition method based on European spatial metrics and realizes noncontact sheep identity recognition by training the network using sheep face image samples in the natural environment. The SheepBase data set was first proposed in this process, which contains 6559 images of Inner Mongolia fine-wool sheep and Sunite sheep. To enhance the diversity of the data, the sheep face images were data-enhanced. Secondly, to solve the problems of more redundant information in the sheep face image and the poor posture and angle of the sheep face, we propose the sheep face detection and correction (SheepFaceRepair) method. This method aims to detect the sheep face area in the image to be recognized and align the sheep face area. On this basis, we offer an open sheep facial recognition network (SheepFaceNet) based on the European spatial metric. This method incorporates the biological identity information features of the sheep face to achieve sheep identity. We also tested the effectiveness of this method in the SheepBase data set. The experimental results show that the method proposed in this paper is much higher than the other methods, and the precision of recognition reaches 89.12%. In addition, we found that integrating the biometrics of the sheep face can effectively improve the network’s recognition capacity.Hongcheng XueJunping QinChao QuanWei RenTong GaoJingjing ZhaoHindawi LimitedarticleEngineering (General). Civil engineering (General)TA1-2040MathematicsQA1-939ENMathematical Problems in Engineering, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Engineering (General). Civil engineering (General) TA1-2040 Mathematics QA1-939
spellingShingle	Engineering (General). Civil engineering (General) TA1-2040 Mathematics QA1-939 Hongcheng Xue Junping Qin Chao Quan Wei Ren Tong Gao Jingjing Zhao Open Set Sheep Face Recognition Based on Euclidean Space Metric
description	As the essential content of intelligent animal husbandry, identifying each livestock is the only way to achieve modern and refined scientific husbandry. This paper proposes a sheep face recognition method based on European spatial metrics and realizes noncontact sheep identity recognition by training the network using sheep face image samples in the natural environment. The SheepBase data set was first proposed in this process, which contains 6559 images of Inner Mongolia fine-wool sheep and Sunite sheep. To enhance the diversity of the data, the sheep face images were data-enhanced. Secondly, to solve the problems of more redundant information in the sheep face image and the poor posture and angle of the sheep face, we propose the sheep face detection and correction (SheepFaceRepair) method. This method aims to detect the sheep face area in the image to be recognized and align the sheep face area. On this basis, we offer an open sheep facial recognition network (SheepFaceNet) based on the European spatial metric. This method incorporates the biological identity information features of the sheep face to achieve sheep identity. We also tested the effectiveness of this method in the SheepBase data set. The experimental results show that the method proposed in this paper is much higher than the other methods, and the precision of recognition reaches 89.12%. In addition, we found that integrating the biometrics of the sheep face can effectively improve the network’s recognition capacity.
format	article
author	Hongcheng Xue Junping Qin Chao Quan Wei Ren Tong Gao Jingjing Zhao
author_facet	Hongcheng Xue Junping Qin Chao Quan Wei Ren Tong Gao Jingjing Zhao
author_sort	Hongcheng Xue
title	Open Set Sheep Face Recognition Based on Euclidean Space Metric
title_short	Open Set Sheep Face Recognition Based on Euclidean Space Metric
title_full	Open Set Sheep Face Recognition Based on Euclidean Space Metric
title_fullStr	Open Set Sheep Face Recognition Based on Euclidean Space Metric
title_full_unstemmed	Open Set Sheep Face Recognition Based on Euclidean Space Metric
title_sort	open set sheep face recognition based on euclidean space metric
publisher	Hindawi Limited
publishDate	2021
url	https://doaj.org/article/29011d3334384bbe8cf73ccdc10d0d53
work_keys_str_mv	AT hongchengxue opensetsheepfacerecognitionbasedoneuclideanspacemetric AT junpingqin opensetsheepfacerecognitionbasedoneuclideanspacemetric AT chaoquan opensetsheepfacerecognitionbasedoneuclideanspacemetric AT weiren opensetsheepfacerecognitionbasedoneuclideanspacemetric AT tonggao opensetsheepfacerecognitionbasedoneuclideanspacemetric AT jingjingzhao opensetsheepfacerecognitionbasedoneuclideanspacemetric
_version_	1718418270026989568

Open Set Sheep Face Recognition Based on Euclidean Space Metric

Ejemplares similares