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Recent research advances in text detection allow us for finding text regions in natural scenes rather accurately. Global features in Content-Based Image Retrieval,however, typically do not cover such a high level information. While characteristics of text regions may be reflected by texture or color properties, the respective pixels are not treated in a different way. In this work we investigate the impact of text detection on Content-Based Image Retrieval using global features. Detected text regions are preprocessed to allow for different treatment by feature extraction algorithms, and we show that our strategy, for certain domains, leads to a much higher precision (15%) in ContentBased Retrieval. 151 Research in Computing Science 114 (2016) pp. 151–160; rec. 2016-03-18; acc. 2016-05-18

Detección de texto en imágenes digitales como estrategia para mejorar la recuperación de imágenes por contenido