Biometric Recognition for Pet Animal

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Journal of Software Engineering and Applications

ISSN Print: 1945-3116
ISSN Online: 1945-3124
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E-mail: jsea@scirp.org

Google-based Impact Factor: 1.22
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"Biometric Recognition for Pet Animal"
written by Santosh Kumar, Sanjay Kumar Singh,
published by Journal of Software Engineering and Applications, Vol.7 No.5, 2014

has been cited by the following article(s):

Google Scholar
CrossRef

[1]	Cattle face recognition based on a Two-Branch convolutional neural network
	… and Electronics in …, 2022

[2]	A novel multimodal framework for automatic recognition of individual cattle based on hybrid features using sparse stacked denoising autoencoder and group sparse …
	Multimedia Tools and …, 2022

[3]	Study on the Viability of Canine Nose Pattern as a Unique Biometric Marker
	Animals, 2021

[4]	Dog Breed Classification Using CNN
	… and Privacy Concerns in Industry 4.0 …, 2021

[5]	Study on the Viability of Canine Nose Pattern as a Unique Biometric Marker. Animals 2021, 11, 3372
	2021

[6]	Sparse Neural Network for horse face detection in a Smart Riding Club Biometric System
	2021

[7]	Potency of individual identification of Japanese macaques (Macaca fuscata) using a face recognition system and a limited number of learning images
	2021

[8]	Dog Identification Method Based on Muzzle Pattern Image
	2020

[9]	Multiple Feature Dependency Detection for Deep Learning Technology—Smart Pet Surveillance System Implementation
	2020

[10]	A Novel Approach of Image Processing to Identify Type and Name of Snake
	2020

[11]	Individual identification of Japanese macaques (Macaca fuscata) using a face recognition system and a limited number of learning images
	2020

[12]	基于非接触式的牛只身份识别研究进展与展望
	2020

[13]	Non-invasive sheep biometrics obtained by computer vision algorithms and machine learning modeling using integrated visible/infrared thermal cameras
	2020

[14]	Computer-Assisted Human Annotation for Animal Identification
	2020

[15]	Classifying Bird Feeder Photos
	2020

[16]	A Review and Future Prospects on Cattle Recognition Based on Non-contact Identification
	Journal of Agricultural Science …, 2020

[17]	Diseño de un prototipo para el registro e identificación de los canes por medio de la huella de la trufa y redes neuronales artificiales en el hospital veterinario Terán …
	2019

[18]	Cattle Recognition: A New Frontier in Visual Animal Biometrics Research
	2019

[19]	Dog recognition in public places based on convolutional neural network
	2019

[20]	Dog Identification using Soft Biometrics and Neural Networks
	2019

[21]	Cat face recognition using deep learning
	2018

[22]	PCA-Based Animal Classification System
	2018

[23]	DeepPet: A Pet Animal Tracking System in Internet of Things using Deep Neural Networks
	2018

[24]	Ekolojik Hayvancılıkta Biyometrik Kimliklendirmenin Kullanılabilirliği
	2018

[25]	Transfer Learning on Convolutional Neural Networks for Dog Identification
	2018

[26]	Deep learning framework for recognition of cattle using muzzle point image pattern
	Measurement, 2018

[27]	Animal Classification Using Appearance-Based, Model-Based and Texture-Based Methods
	2018

[28]	Convolutional neural networks for Saimaa ringed seal segmentation
	2017

[29]	Невербальные коммуникации животного мира: системный анализ жестовых языков
	2017

[30]	Analytical Study of Animal Biometrics: A Technical Survey
	Animal Biometrics, 2017

[31]	Real-Time Recognition of Cattle Using Fisher Locality Preserving Projection Method
	Animal Biometrics, 2017

[32]	Animal Biometrics
	Springer Nature Singapore Pte, 2017

[33]	The Importance of Use of Computer Technology in Ecological Livestock
	2017

[34]	Soft Biometric Attributes in the Wild: Case Study on Gender Classification
	2017

[35]	Biometric Methods for Animal: Recent Trends and Future Challenges
	Animal Biometrics, 2017

[36]	Hayvansal Üretimde Biyometrik Kimliklendirme ve Kayıt
	Journal of the Institute of Natural & Applied Sciences, 2017

[37]	Muzzle Point Pattern-Based Techniques for Individual Cattle Identification
	Animal Biometrics, 2017

[38]	Muzzle point pattern based techniques for individual cattle identification
	IET Image Processing, 2017

[39]	Group sparse representation approach for recognition of cattle on muzzle point images
	International Journal of Parallel Programming, 2017

[40]	NONVERBAL COMMUNICATION IN THE ANIMAL WORLD: MAPPING OF ELEMENTS OF SIGN LANGUAGES
	2017

[41]	Towards A Novel Biometric System For Smart Riding Club.
	2016

[42]	Locality Constrained Sparse Representation for Cat Recognition
	MultiMedia Modeling, 2016

[43]	Environmental research at Sea Lion Island, Falkland Islands Field work report 2015/2016
	2016

[44]	Visual Animal Biometrics: Survey
	IET Biometrics, 2016

[45]	Monitoring of pet animal in smart cities using animal biometrics
	Future Generation Computer Systems, 2016

[46]	Automatic detection of lizards
	2016

[47]	A Preliminary Investigation on Horses Recognition Using Facial Texture Features
	Systems, Man, and Cybernetics (SMC), 2015 IEEE International Conference on, 2015

[48]	3D cow identification in cattle farms
	2014 22nd Signal Processing …, 2014

[49]	Dog Noseprint Identification Based on Textural Features of Scaly Blocks

[1]	Dog nose-print recognition based on the shape and spatial features of scales Expert Systems with Applications, 2024 DOI:10.1016/j.eswa.2023.122308

[2]	Animals and Cities: A Reflection on Their Potential in Innovating Nature-Based Solutions Animals, 2024 DOI:10.3390/ani14050680

[3]	Deep Learning Pet Identification Using Face and Body Information, 2023 DOI:10.3390/info14050278

[4]	Cattle identification with muzzle pattern using computer vision technology: a critical review and prospective Soft Computing, 2022 DOI:10.1007/s00500-022-06935-x

[5]	A novel multimodal framework for automatic recognition of individual cattle based on hybrid features using sparse stacked denoising autoencoder and group sparse representation techniques Multimedia Tools and Applications, 2022 DOI:10.1007/s11042-022-12701-w

[6]	Cattle face recognition based on a Two-Branch convolutional neural network Computers and Electronics in Agriculture, 2022 DOI:10.1016/j.compag.2022.106871

[7]	Biometric-Based Security System for Smart Riding Clubs IEEE Access, 2022 DOI:10.1109/ACCESS.2022.3229260

[8]	Cattle face recognition based on a Two-Branch convolutional neural network Computers and Electronics in Agriculture, 2022 DOI:10.1016/j.compag.2022.106871

[9]	Potency of Individual Identification of Japanese Macaques (Macaca fuscata) Using a Face Recognition System and a Limited Number of Learning Images Mammal Study, 2021 DOI:10.3106/ms2020-0071

[10]	Security Issues and Privacy Concerns in Industry 4.0 Applications 2021 DOI:10.1002/9781119776529.ch10

[11]	Study on the Viability of Canine Nose Pattern as a Unique Biometric Marker Animals, 2021 DOI:10.3390/ani11123372

[12]	Multiple Feature Dependency Detection for Deep Learning Technology—Smart Pet Surveillance System Implementation Electronics, 2020 DOI:10.3390/electronics9091387

[13]	Non-Invasive Sheep Biometrics Obtained by Computer Vision Algorithms and Machine Learning Modeling Using Integrated Visible/Infrared Thermal Cameras Sensors, 2020 DOI:10.3390/s20216334

[14]	Dog Identification Method Based on Muzzle Pattern Image Applied Sciences, 2020 DOI:10.3390/app10248994

[15]	Classifying Bird Feeder Photos 2020 35th International Conference on Image and Vision Computing New Zealand (IVCNZ), 2020 DOI:10.1109/IVCNZ51579.2020.9290682

[16]	Cattle Recognition: A New Frontier in Visual Animal Biometrics Research Proceedings of the National Academy of Sciences, India Section A: Physical Sciences, 2019 DOI:10.1007/s40010-019-00610-x

[17]	Dog recognition in public places based on convolutional neural network International Journal of Distributed Sensor Networks, 2019 DOI:10.1177/1550147719829675

[18]	Dog Identification using Soft Biometrics and Neural Networks 2019 International Joint Conference on Neural Networks (IJCNN), 2019 DOI:10.1109/IJCNN.2019.8851971

[19]	Transfer Learning on Convolutional Neural Networks for Dog Identification 2018 IEEE 9th International Conference on Software Engineering and Service Science (ICSESS), 2018 DOI:10.1109/ICSESS.2018.8663718

[20]	PCA-Based Animal Classification System 2018 2nd International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT), 2018 DOI:10.1109/ISMSIT.2018.8567256

[21]	DeepPet: A Pet Animal Tracking System in Internet of Things using Deep Neural Networks 2018 13th International Conference on Computer Engineering and Systems (ICCES), 2018 DOI:10.1109/ICCES.2018.8639260

[22]	Deep learning framework for recognition of cattle using muzzle point image pattern Measurement, 2018 DOI:10.1016/j.measurement.2017.10.064

[23]	Group Sparse Representation Approach for Recognition of Cattle on Muzzle Point Images International Journal of Parallel Programming, 2017 DOI:10.1007/s10766-017-0550-x

[24]	Animal Biometrics 2017 DOI:10.1007/978-981-10-7956-6_7

[25]	Animal Biometrics 2017 DOI:10.1007/978-981-10-7956-6_2

[26]	Animal Biometrics 2017 DOI:10.1007/978-981-10-7956-6_8

[27]	Animal Biometrics 2017 DOI:10.1007/978-981-10-7956-6_6

[28]	Animal Biometrics 2017 DOI:10.1007/978-981-10-7956-6_4

[29]	Muzzle point pattern based techniques for individual cattle identification IET Image Processing, 2017 DOI:10.1049/iet-ipr.2016.0799

[30]	Visual animal biometrics: survey IET Biometrics, 2017 DOI:10.1049/iet-bmt.2016.0017

[31]	Human Recognition in Unconstrained Environments 2017 DOI:10.1016/B978-0-08-100705-1.00007-5

[32]	Automatic detection of lizards 2016 International Conference on Advanced Mechatronic Systems (ICAMechS), 2016 DOI:10.1109/ICAMechS.2016.7813464

[33]	MultiMedia Modeling Lecture Notes in Computer Science, 2016 DOI:10.1007/978-3-319-27674-8_13

[34]	Monitoring of pet animal in smart cities using animal biometrics Future Generation Computer Systems, 2016 DOI:10.1016/j.future.2016.12.006

[35]	A Preliminary Investigation on Horses Recognition Using Facial Texture Features 2015 IEEE International Conference on Systems, Man, and Cybernetics, 2015 DOI:10.1109/SMC.2015.489

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	customer@scirp.org
	+86 18163351462(WhatsApp)
	1655362766

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