The identification of mammalian species through the classification of hair patterns using image pattern recognition
Contribuinte(s) |
Spencer, Stephen N. |
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Data(s) |
01/01/2006
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Resumo |
The identification of mammals through the use of their hair is important in the fields of forensics and ecology. The application of computer pattern recognition techniques to this process provides a means of reducing the subjectivity found in the process, as manual techniques rely on the interpretation of a human expert rather than quantitative measures. The first application of image pattern recognition techniques to the classification of African mammalian species using hair patterns is presented. This application uses a 2D Gabor filter-bank and motivates the use of moments to classify hair scale patterns. Application of a 2D Gabor filter-bank to hair scale processing provides results of 52% accuracy when using a filter bank of size four and 72% accuracy when using a filter-bank of size eight. These initial results indicate that 2D Gabor filters produce information that may be successfully<br /> |
Identificador | |
Idioma(s) |
eng |
Publicador |
Association for Computer Machinery |
Relação |
http://dro.deakin.edu.au/eserv/DU:30039191/bangay-theidentification-2006.pdf http://dx.doi.org/10.1145/1108590.1108619 |
Direitos |
2006, ACM |
Tipo |
Conference Paper |