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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Basavaraj Amarapur Patil, Nagaraj |
| Copyright Year | 2006 |
| Description | Author affiliation: P.D.A. Coll. of Eng., Gulbarga (Basavaraj Amarapur) |
| Abstract | Text extraction from images and video sequences finds many useful applications in document processing and parts identification in industrial automation. Text extraction may employ binarization or directly process the original image. In the conventional method, grey image binarization processing with a given threshold is employed to extract high intensity video character regions. A video has a complex background with various kinds of intensity so that appropriate thresholds are not always obtained. The proposed method describes the flow of character segmentation from the image in order to make a readable image for optical character recognition. The intensity distribution of characters in an image precisely estimated to extract only character regions from the image. The main objective of this method is to reduce the number of false character regions that may be fed to optical character reader. Incorporating an optical character reader algorithm with the proposed method yields a useful system for text analysis in images |
| Starting Page | 198 |
| Ending Page | 201 |
| File Size | 3681329 |
| Page Count | 4 |
| File Format | |
| ISBN | 1424400384 |
| DOI | 10.1109/CCECE.2006.277408 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-05-07 |
| Publisher Place | Canada |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Character recognition Optical filters Image edge detection Image segmentation Optical character recognition software Color Educational institutions Automation Vehicle detection Video sequences Labelling Character reader Text extraction Open-close filters close-open filters Sobel operators AND operation |
| Content Type | Text |
| Resource Type | Article |
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