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13 January 2003 Text location in color documents
Anil K. Jain, Anoop M. Namboodiri, Keechul Jung
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Proceedings Volume 5010, Document Recognition and Retrieval X; (2003) https://doi.org/10.1117/12.476021
Event: Electronic Imaging 2003, 2003, Santa Clara, CA, United States
Abstract
Many document images contain both text and non-text (images, line drawings, etc.) regions. An automatic segmentation of such an image into text and non-text regions is extremely useful in a variety of applications. Identification of text regions helps in text recognition applications, while the classification of an image into text and non-text regions helps in processing the individual regions differently in applications like page reproduction and printing. One of the main approaches to text detection is based on modeling the text as a texture. We present a method based on a combination of neural networks (texture-based) and connected component analysis to detect text in color documents with busy foreground and background. The proposed method achieves an accuracy of 96% (by area) on a test set of 40 documents.
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Anil K. Jain, Anoop M. Namboodiri, and Keechul Jung "Text location in color documents", Proc. SPIE 5010, Document Recognition and Retrieval X, (13 January 2003); https://doi.org/10.1117/12.476021
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KEYWORDS
Image segmentation
Neural networks
Detection and tracking algorithms
Image processing algorithms and systems
Digital filtering
Image classification
Image processing
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