On the public citation graph

Automatic Cattle Identification based on Multi-Channel LBP on Muzzle Images

https://doi.org/10.1109/siet.2018.8693161
0 signed · 20 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-319-08156-4_22openalex-snapshot
Cattle Identification Using Muzzle Print Images Based on Texture Features Approach
inferredcites →https://doi.org/10.1007/978-3-319-13461-1_23openalex-snapshot
Cattle Identification Based on Muzzle Images Using Gabor Features and SVM Classifier
inferredcites →https://doi.org/10.1007/978-3-642-40597-6_12openalex-snapshot
A Cattle Identification Approach Using Live Captured Muzzle Print Images
inferredcites →https://doi.org/10.1049/iet-ipr.2016.0799openalex-snapshot
Muzzle point pattern based techniques for individual cattle identification
inferredcites →https://doi.org/10.1109/incos.2015.60openalex-snapshot
Muzzle-Based Cattle Identification Using Speed up Robust Feature Approach
inferredcites →https://doi.org/10.1504/ijim.2015.070022openalex-snapshot
Automatic cattle muzzle print classification system using multiclass support vector machine
inferredcites →https://doi.org/10.1504/ijim.2015.073902openalex-snapshot
Two biometric approaches for cattle identification based on features and classifiers fusion

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4597437openalex-extracted
inferred← citeshttps://doi.org/10.1007/978-3-031-66705-3_21openalex-snapshot
Deep Learning for Cattle Face Identification
inferred← citeshttps://doi.org/10.1016/j.compag.2024.109287openalex-snapshot
A novel and convenient lying cow identification method based on YOLOX and CowbodyNet: A study with applications in a barn
inferred← citeshttps://doi.org/10.1017/s0022029925101118openalex-snapshot
Deep learning assisted muzzle-based identification of Vrindavani cattle – A crossbred of India
inferred← citeshttps://doi.org/10.1109/dicta56598.2022.10034585openalex-snapshot
Automatic Cattle Identification using YOLOv5 and Mosaic Augmentation: A Comparative Analysis
inferred← citeshttps://doi.org/10.1109/jiot.2024.3357862openalex-snapshot
An Intelligent Edge-IoT Platform With Deep Learning for Body Condition Scoring of Dairy Cow
inferred← citeshttps://doi.org/10.1109/lsens.2022.3215699openalex-snapshot
A Vision-Based Cattle Recognition System Using TensorFlow for Livestock Water Intake Monitoring
inferred← citeshttps://doi.org/10.1145/3592686.3592717openalex-snapshot
Study on individual identification method of cow based on CD-YOLOv7
inferred← citeshttps://doi.org/10.1145/3626641.3627215openalex-snapshot
Cattle AutoID: Biometric for Cattle Identification: Cattle AutoID
inferred← citeshttps://doi.org/10.15832/ankutbd.1509798openalex-snapshot
Deep Learning based Individual Cattle Face Recognition using Data Augmentation and Transfer Learning
inferred← citeshttps://doi.org/10.2139/ssrn.5378479openalex-snapshot
Vision Transformer-Based Multi-Camera Multi-Object Tracking Framework for Dairy Cow Monitoring
inferred← citeshttps://doi.org/10.4108/eai.23-11-2023.2343289openalex-snapshot
Mitigating Training Bias in Cattle Breed Identification through Orientation-Aware Framework
inferred← citeshttps://doi.org/10.5753/sibgrapi.est.2021.20033openalex-snapshot
Segmentation and graph generation of muzzle images for cattle identification
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.