Name
Title | ||
|---|---|---|
The identification of mammalian species through the classification of hair patterns using image pattern recognition |
Abstract | ||
|---|---|---|
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 used to classify hair according to images of its patterns. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1145/1108590.1108619 | Afrigraph |
Keywords | Field | DocType |
gabor filter,hair scale processing,african mammalian species,initial result,human expert,computer pattern recognition technique,hair pattern,image pattern recognition technique,hair scale pattern,gabor filter-bank,pattern recognition,filter bank,image segmentation,grabcut | Computer vision,Computer pattern recognition,Pattern recognition,Computer science,GrabCut,Image segmentation,Artificial intelligence | Conference |
ISBN | Citations | PageRank |
1-59593-288-7 | 2 | 0.79 |
References | Authors | |
7 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Thamsanqa Moyo | 1 | 2 | 0.79 |
| Shaun Bangay | 2 | 97 | 17.72 |
| Greg Foster | 3 | 9 | 3.59 |