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M.Tech / M.E / PhD Thesis | Computer Science & Engineering | India | Volume 4 Issue 7, July 2015 | Popularity: 6.1 / 10

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Text Extraction from Complex Color Images Using Optical Character Recognition

Prachi R. Dussawar, Parul Bhanarkar Jha

Abstract: Optical Character Recognition (OCR) is a system that provides a full alphanumeric recognition of printed or hand written characters by simply scanning the text image. OCR system interprets the printed or handwritten characters image and converts it into corresponding editable text document. The text image is divided into regions by isolating each line, then individual characters with spaces. After character extraction, the texture and topological features like corner points, features of different regions, ratio of character area and convex area of all characters of text image are calculated. Previously features of each uppercase and lowercase letter, digit, and symbols are stored as a template. Based on the texture and topological features, the system recognizes the exact character using feature matching between the extracted character and the template of all characters as a measure of similarity.

Keywords: Character recognition, Feature Extraction, Feature Matching, Text extraction, Character extraction

Edition: Volume 4 Issue 7, July 2015

Pages: 730 - 735

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