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ICDAR
2005
IEEE

Text Extraction from Gray Scale Historical Document Images Using Adaptive Local Connectivity Map

9 years 5 months ago
Text Extraction from Gray Scale Historical Document Images Using Adaptive Local Connectivity Map
This paper presents an algorithm using adaptive local connectivity map for retrieving text lines from the complex handwritten documents such as handwritten historical manuscripts. The algorithm is designed for solving the particularly complex problems seen in handwritten documents. These problems include fluctuating text lines, touching or crossing text lines and low quality image that do not lend themselves easily to binarizations. The algorithm is based on connectivity features similar to local projection profiles, which can be directly extracted from gray scale images. The proposed technique is robust and has been tested on a set of complex historical handwritten documents such as Newton’s and Galileo’s manuscripts. A preliminary testing shows a successful location rate of above 95% for the test set.
Zhixin Shi, Srirangaraj Setlur, Venu Govindaraju
Added 24 Jun 2010
Updated 24 Jun 2010
Type Conference
Year 2005
Where ICDAR
Authors Zhixin Shi, Srirangaraj Setlur, Venu Govindaraju
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