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Translated Trademarks Retrieval using Color Autocorrelogram for Extracted Textual Parts

Translated Trademarks Retrieval using Color Autocorrelogram for Extracted Textual Parts

Ahmed Zeggari, Fella Hachouf
Copyright: © 2018 |Volume: 8 |Issue: 2 |Pages: 9
ISSN: 2155-6997|EISSN: 2155-6989|EISBN13: 9781522545729|DOI: 10.4018/IJCVIP.2018040104
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MLA

Zeggari, Ahmed, and Fella Hachouf. "Translated Trademarks Retrieval using Color Autocorrelogram for Extracted Textual Parts." IJCVIP vol.8, no.2 2018: pp.59-67. http://doi.org/10.4018/IJCVIP.2018040104

APA

Zeggari, A. & Hachouf, F. (2018). Translated Trademarks Retrieval using Color Autocorrelogram for Extracted Textual Parts. International Journal of Computer Vision and Image Processing (IJCVIP), 8(2), 59-67. http://doi.org/10.4018/IJCVIP.2018040104

Chicago

Zeggari, Ahmed, and Fella Hachouf. "Translated Trademarks Retrieval using Color Autocorrelogram for Extracted Textual Parts," International Journal of Computer Vision and Image Processing (IJCVIP) 8, no.2: 59-67. http://doi.org/10.4018/IJCVIP.2018040104

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Abstract

This article describes a trademark retrieval system using autocorrelogram features. The proposed algorithm deals with the trademarks of a same company having different shapes in different languages. Textual and mixed logos types are considered in this study, in which the text area is located based on an edge detection algorithm and connected components merging strategy to form the bounding box enclosing the textual parts of a logo. Color autocorrelogram is applied on the extracted and quantified text area. An adapted evaluation metric is proposed to measure the performance of the proposed technique. Results show a good retrieval rate on real trademark images.

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