Name
Abstract | ||
|---|---|---|
A new two dimensional (2-D) object recognition method is proposed to differentiate similar objects, detect defective objects, and recognize printed characters. First, a 2-D image is transformed to a weighted shape matrix to secure invariance in translation, scaling, rotation, and split into four dyadic subimages. Wavelet transformation is applied to each subimage in order to further explore its details in different directions and to achieve image subband decomposition. Finally, an efficient and effective 2-D image fractal algorithm is used to extract each subband coefficient as a feature for classification. A series of experiments were conducted on binary objects and character images for recognition and classification. The experimental results showed that the proposed method is especially effective in classifying similar objects and the recognition rate could be very high in the recognition of printed characters. |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1109/ICPR.2002.1048303 | Pattern Recognition, 2002. Proceedings. 16th International Conference |
Keywords | Field | DocType |
character recognition,feature extraction,object recognition,wavelet transforms,2D wavelet-fractal feature extraction,defective objects detection,image fractal algorithm,image subband decomposition,printed characters recognition,similar objects recognition,wavelet transformation | Computer vision,Pattern recognition,Computer science,Fractal,Matrix decomposition,Feature extraction,Artificial intelligence,Scaling,Wavelet,Wavelet transform,Binary number,Cognitive neuroscience of visual object recognition | Conference |
Volume | ISSN | Citations |
2 | 1051-4651 | 3 |
PageRank | References | Authors |
0.44 | 3 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ping Zhang | 1 | 20 | 2.87 |
| T. D. Bui | 2 | 78 | 18.52 |
| Ching Y. Suen | 3 | 7569 | 1127.54 |