Gabor filters for Document analysis in Indian Bilingual Documents
Reasonable success has been achieved at developing mono lingual OCR systems in Indian scripts. Scientists, op-timistically, have started to look beyond. Development of bilingual OCR systems and OCR systems with capa-bility to identify the text areas are some of the pointers to future activities in I...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Text |
| Language: | English |
| Published: |
2004
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| Subjects: | |
| Online Access: | http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.132.5139 http://eprints.iisc.ernet.in/archive/00000386/01/gabor.pdf |
| Summary: | Reasonable success has been achieved at developing mono lingual OCR systems in Indian scripts. Scientists, op-timistically, have started to look beyond. Development of bilingual OCR systems and OCR systems with capa-bility to 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 doc-ument 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 to be computationally viable for com-mercial OCR system development. |
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