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The identification of mammalian species through the classification of hair patterns using image pattern recognition
conference contribution
posted on 2006-01-01, 00:00 authored by T Moyo, Shaun BangayShaun Bangay, G FosterThe 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
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Event
International conference on computer graphics, virtual reality, visualisation and interaction in Africa (4th : 2006 : Cape Town, South Africa)Pagination
177 - 181Publisher
Association for Computer MachineryLocation
Cape Town, South AfricaPlace of publication
New York, N.Y.Publisher DOI
Start date
2006-01-25End date
2006-01-27ISBN-10
1595932887Language
engPublication classification
E1.1 Full written paper - refereedCopyright notice
2006, ACMEditor/Contributor(s)
S SpencerTitle of proceedings
Afrigraph '06 : Proceedings of the 4th international conference on computer graphics, virtual reality, visualisation and interaction in AfricaUsage metrics
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