Abstract
The planet earth is house of a variety of species of bird. Many of these birds are now getting extinct. Moreover, a lot of wildlife crimes are committed against birds including shooting, trapping, poisoning, and illegal sale of rare species. Feathers may be good evidence in such cases to identify species of birds. In this study, we propose a pattern recognition based technique for identification of birds from feathers. Our literature survey could not reveal a systematic study on identification of birds from the images of feathers. We have made a digital database of 60 feathers from 15 different species of birds. Hue and saturation histogram, which yields a feature vector of 46 dimensions, is extracted from the images of feathers. Nearest Neighbor (NN) algorithm is utilized for identification of birds using various distance metrics, which resulted into a maximum accuracy of 95.46%.
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Kale, V., Kumar, R. (2021). Forensic Identification of Birds from Feathers Using Hue and Saturation Histogram. In: Santosh, K.C., Gawali, B. (eds) Recent Trends in Image Processing and Pattern Recognition. RTIP2R 2020. Communications in Computer and Information Science, vol 1381. Springer, Singapore. https://doi.org/10.1007/978-981-16-0493-5_17
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DOI: https://doi.org/10.1007/978-981-16-0493-5_17
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