JOURNAL ARTICLE

<title>Color document analysis</title>

Chunghui KuoA. Ravishankar RaoGerry Thompson

Year: 2001 Journal:   Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE Vol: 4663 Pages: 72-80   Publisher: SPIE

Abstract

The amount of documents in electronic formats has dramatically increased because of the ease of information sharing. Hence, it is highly desirable to design an efficient document compression technique. In this paper, a divide-and-conquer technique is propose to classify a local region into uni-level, bi-level and multi-level classes. As a result, various compression approaches can be applied to suitable area to increase compression efficiency. The color sigma filtering technique is adopted as a preprocessing stage to facilitate the following segmentation and cluster validation processes. Experiment results demonstrate that this technique successfully dichotomize a color document into regions with similar characteristics.

Keywords:
Computer science Preprocessor Segmentation Artificial intelligence Compression (physics) Data compression Data mining Information retrieval Pattern recognition (psychology)

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Topics

Image Retrieval and Classification Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Data Compression Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Algorithms and Applications
Physical Sciences →  Engineering →  Control and Systems Engineering

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