Gabor filters for Document analysis in Indian Bilingual Documents
Reasonable success has been achieved at developing monolingual OCR systems in Indian scripts. Scientists, optimistically, have started t o look beyond. Development of bilingual OCR systems and OCR systems with capability t o identify the text areas are some of the pointers to future activities in In...
| Main Authors: | , , , |
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| Format: | Conference Object |
| Language: | unknown |
| Published: |
IEEE
2004
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| Subjects: | |
| Online Access: | http://eprints.iisc.ernet.in/386/ http://eprints.iisc.ernet.in/386/1/gabor.pdf |
| Summary: | Reasonable success has been achieved at developing monolingual OCR systems in Indian scripts. Scientists, optimistically, have started t o look beyond. Development of bilingual OCR systems and OCR systems with capability t o identify the text areas are some of the pointers to future activities in Indian scenario. The separation of text and non-text regions before considering the document image for OCR is an important task. In this paper, we present a biologically inspired, multi-channel filtering scheme for page layout analysis. The same scheme has been used for script recognition as well. Parameter tuning is mostly done heuristically. It has also been seen t o be computationally viable for commercial OCR system development. |
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