Run-Based Algorithms for Binary Image Analysis and Processing
IEEE Transactions on Pattern Analysis and Machine Intelligence
Digital Image Processing: PIKS Inside
Digital Image Processing: PIKS Inside
Optical Character Recognition: An Illustrated Guide to the Frontier
Optical Character Recognition: An Illustrated Guide to the Frontier
Digital Libraries and Document Image Analysis
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 1
Feature extraction of epiluminescence microscopic images by iterative segmentation algorithm
ICCOMP'05 Proceedings of the 9th WSEAS International Conference on Computers
An adaptive multi-thresholding technique for binarization of color images
ICCOMP'05 Proceedings of the 9th WSEAS International Conference on Computers
Bitonal image creation for automatic content conversion
ICAI'08 Proceedings of the 9th WSEAS International Conference on International Conference on Automation and Information
Automatic text clustering and classification based on font geometrical characteristics
ICAI'08 Proceedings of the 9th WSEAS International Conference on International Conference on Automation and Information
An overview of segmentation techniques for target detection in visual images
ICAI'08 Proceedings of the 9th WSEAS International Conference on International Conference on Automation and Information
WSEAS Transactions on Computers
Merge techniques for large multiple-pass scanned images
VIS'08 Proceedings of the 1st WSEAS international conference on Visualization, imaging and simulation
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This paper describes an approach towards obtaining the normalized measure of text resemblance in scanned images. The technique, aimed at automatic content conversion, is relying on the detection of standard character features and uses a sequence of procedures and algorithms applied sequentially on the input document. The approach makes use solely of the geometrical characteristics of characters, ignoring information regarding context or the character-recognition.