Muzzle-based Cattle Identification using Speed up Robust Feature Approach

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F15%3A86099116" target="_blank" >RIV/61989100:27240/15:86099116 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27740/15:86099116
Result on the web
<a href="http://ieeexplore.ieee.org/document/7312056/" target="_blank" >http://ieeexplore.ieee.org/document/7312056/</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/INCoS.2015.60" target="_blank" >10.1109/INCoS.2015.60</a>

Result language
angličtina
Original language name
Muzzle-based Cattle Identification using Speed up Robust Feature Approach
Original language description
Starting from the last century, animals identification became important for several purposes, e.g. tracking, controlling livestock transaction, and illness control. Invasive and traditional ways used to achieve such animal identification in farms or laboratories. To avoid such invasiveness and to get more accurate identification results, biometric identification methods have appeared. This paper presents an invariant biometric-based identification system to identify cattle based on their muzzle print images. This system makes use of Speeded Up Robust Feature (SURF) features extraction technique along with with minimum distance and Support Vector Machine (SVM) classifiers. The proposed system targets to get best accuracy using minimum number of SURF interest points, which minimizes the time needed for the system to complete an accurate identification. It also compares between the accuracy gained from SURF features through different classifiers. The experiments run 217 muzzle print images and the experimental results showed that our proposed approach achieved an excellent identification rate compared with other previous works.
Czech name
—
Czech description
—

Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
International Conference on Intelligent Networking and Collaborative Systems IEEE INCoS 2015 : Proceedings Papers
ISBN
978-1-4673-7695-2
ISSN
—
e-ISSN
—
Number of pages
6
Pages from-to
99-104
Publisher name
IEEE
Place of publication
New York
Event location
Tchaj-pej
Event date
Sep 2, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000380529500017

Similar results(10)