Rectification and recognition of text in 3-D scenes
| Autor: | Quang-Tuan Luong, Gregory K. Myers, James A. Herson, Hrishikesh Aradhye, Robert C. Bolles |
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| Rok vydání: | 2005 |
| Předmět: |
Computer science
business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Optical character recognition computer.software_genre Document layout Computer Science Applications Perspective distortion Perspective (geometry) Rectification Oblique plane Pattern recognition (psychology) ComputingMethodologies_DOCUMENTANDTEXTPROCESSING Computer vision Computer Vision and Pattern Recognition Artificial intelligence business computer Software Character recognition |
| Zdroj: | International Journal of Document Analysis and Recognition (IJDAR). 7:147-158 |
| ISSN: | 1433-2825 1433-2833 |
| DOI: | 10.1007/s10032-004-0133-4 |
| Popis: | Real-world text on street signs, nameplates, etc. often lies in an oblique plane and hence cannot be recognized by traditional OCR systems due to perspective distortion. Furthermore, such text often comprises only one or two lines, preventing the use of existing perspective rectification methods that were primarily designed for images of document pages. We propose an approach that reliably rectifies and subsequently recognizes individual lines of text. Our system, which includes novel algorithms for extraction of text from real-world scenery, perspective rectification, and binarization, has been rigorously tested on still imagery as well as on MPEG-2 video clips in real time. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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