Document image segmentation based on wavelet features
| Autor: | Valery Grishkin |
|---|---|
| Rok vydání: | 2015 |
| Předmět: |
business.industry
Computer science Segmentation-based object categorization Feature vector Feature extraction ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Wavelet transform Scale-space segmentation Pattern recognition Image segmentation ComputingMethodologies_PATTERNRECOGNITION Wavelet Computer Science::Computer Vision and Pattern Recognition Radial basis function kernel Computer vision Artificial intelligence business |
| Zdroj: | 2015 Computer Science and Information Technologies (CSIT). |
| DOI: | 10.1109/csitechnol.2015.7358255 |
| Popis: | This paper proposes a method for segmentation of images containing both textual and graphical data. The method uses wavelet transformation to build the feature vector and a pattern recognition technique to classify areas of a document image. Values of wavelet coefficients distribution histogram of the source images sliding window serve as elements of a feature vector. For recognition of document area category, we use a trained classifier based upon support vector machine with RBF kernel. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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