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21 October 2004 Unified approach for document segmentation
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Proceedings Volume 5622, 5th Iberoamerican Meeting on Optics and 8th Latin American Meeting on Optics, Lasers, and Their Applications; (2004) https://doi.org/10.1117/12.591675
Event: 5th Iberoamerican Meeting on Optics and 8th Latin American Meeting on Optics, Lasers, and Their Applications, 2004, Porlamar, Venezuela
Abstract
In this paper, we propose a unified approach for document segmentation. Differently of others techniques that segment images without a priori knowledge about the classes to be segmented, this approach carries out a previous learning of what must be segmented. The learning is carried out using only two images, the original one and its ideal segmented version. This stage generates a decision matrix, which is used to extract the similar semantic information in new images. The knowledge acquired in the decision matrix is explored by means of KNN strategy. Performed tests on different types of document images, like signature, postal envelopes and old document databases for instance, showed significant and promising results. It must be emphasized that this learning segmentation approach is completely automatic, does not require heuristics, and may transform the subjective human operator's knowledge into an automatic process and reproduce it.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Horacio Andrés Legal-Ayala and Jacques Facon "Unified approach for document segmentation", Proc. SPIE 5622, 5th Iberoamerican Meeting on Optics and 8th Latin American Meeting on Optics, Lasers, and Their Applications, (21 October 2004); https://doi.org/10.1117/12.591675
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