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Advisor(s)
Abstract(s)
Cattle identification has been a serious problem for breeding association. Muzzle pattern or nose print has the same characteristic with the human fingerprint which is the most popular biometric marker. The identification accuracy and the processing time are two key challenges of any cattle identification methodology. This paper presents a robust and fast cattle identification scheme from muzzle images using Speed-up Robust Features matching. The matching refinement technique based on the matching orientation information has been proposed to eliminate the miss-matched outliers.
Description
Keywords
Image analysis Feature extraction Cattle identification Biometric features
Citation
Monteiro, Marta; Cadavez, Vasco; Monteiro, Fernando C. (2015). Cattle identification based in biometric features of the muzzle. In RECPAD 2015 - 21St Edition of the Portuguese Conference on Pattern Recognition. Faro, Portugal
Publisher
AssociaçãoPortuguesa de Reconhecimento de Padrões