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- W3108509156 abstract "In this paper, individual light coloured pig (Yorkshire) has been recognized based on their ear images captured using mobile phones. The ears have been kept parallel to the light source and the images have been captured from the opposite side of the light source. The auricular venation pattern from each captured ear image has been extracted, the template has been generated and stored in a database. The templates of recaptured ear images have been matched with the stored templates of the same pig using average Euclidean distance. The pig has been verified if average Euclidean distances of matching are $${<}40$$ . The unknown pig ear images have also been captured and the corresponding templates have been matched with all templates stored in the database. The pig has been identified if Euclidean distance between any pair of the template is $${<}40$$ ." @default.
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- W3108509156 date "2020-11-24" @default.
- W3108509156 modified "2023-09-23" @default.
- W3108509156 title "Individual Pig Recognition Based on Ear Images" @default.
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- W3108509156 doi "https://doi.org/10.1007/978-981-15-7834-2_55" @default.
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