Analysis of textual images using the Hough transform
| Autor: | Sargur N. Srihari, Venugopal Govindaraju |
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| Rok vydání: | 1989 |
| Předmět: |
Discretization
Computer science business.industry Image processing Accumulator (cryptography) Computer Science Applications Hough transform law.invention Text processing Hardware and Architecture law Pattern recognition (psychology) Line (geometry) ComputingMethodologies_DOCUMENTANDTEXTPROCESSING Computer vision Computer Vision and Pattern Recognition Artificial intelligence business Software Block (data storage) |
| Zdroj: | Machine Vision and Applications. 2:141-153 |
| ISSN: | 1432-1769 0932-8092 |
| DOI: | 10.1007/bf01212455 |
| Popis: | The analysis of images of printed pages of text is considered. Since printed text can be viewed as textured line, the use of the Hough transform for detecting straight lines is proposed as an analysis tool. Methods for handling several discretization problems that arise in mapping the rectangular image space to the (ρ, Θ) accumulator array are described. Several applications of analyzing the accumulator array are proposed. They include detecting the text skew angle, determining the signature of a text line so as to accept or reject a block as containing only text, using profile analysis to segment text into lines, and determining whether a textual block is rightside-up or otherwise. |
| Databáze: | OpenAIRE |
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