Paper
28 January 2008 Interactive evolutionary computing for the binarization of degenerated handwritten images
Author Affiliations +
Proceedings Volume 6815, Document Recognition and Retrieval XV; 681507 (2008) https://doi.org/10.1117/12.765460
Event: Electronic Imaging, 2008, San Jose, California, United States
Abstract
The digital cleaning of dirty and old documents and the binarization into a black/white image can be a tedious process. It is usually done by experts. In this article a method is shown that is easy for the end user. Untrained persons are able to do this task now while before an expert was needed. The method uses interactive evolutionary computing to program image processing operations that act on the document image.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Tijn van der Zant, Lambert Schomaker, and Axel Brink "Interactive evolutionary computing for the binarization of degenerated handwritten images", Proc. SPIE 6815, Document Recognition and Retrieval XV, 681507 (28 January 2008); https://doi.org/10.1117/12.765460
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KEYWORDS
Image processing

Evolutionary algorithms

Convolution

Digital image processing

Forensic science

Software

Artificial intelligence

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