1 November 1996 Automatic reading of the white pages in a telephone directory
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Optical Engineering, 35(11), (1996). doi:10.1117/1.601055
Abstract
An optical character recognition (OCR) system for the reading of the white pages of Sydney’s telephone directories is described. The system is used to process each scanned page automatically. First, column segmentation, special symbol segmentation, text line segmentation, and character segmentation are performed. Second, a new structural method is developed to recognize each segmented character based on its skeleton decomposition and coding. Third, a postprocessing module is used to verify the confusing letters based on the text layout information and the contextual information. Experiments with test pages show an average recognition rate of 99.5% with a reliability rate of 99.85%.
Jianming Hu, Hong Yan, "Automatic reading of the white pages in a telephone directory," Optical Engineering 35(11), (1 November 1996). http://dx.doi.org/10.1117/1.601055
JOURNAL ARTICLE
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KEYWORDS
Detection and tracking algorithms

Image segmentation

Optical character recognition

Prototyping

Optical engineering

Reliability

Binary data

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