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Volume & Issue no: Volume 3, Issue 6, November - December 2014

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Title:
Improved approach for Logo Detection and Recognition
Author Name:
Prof. Mrunalinee Patole, Meera Sambhaji Sawalkar
Abstract:
ABSTRACT In this paper we are discussing the general ideas about logo detection and recognition framework, in addition to this presenting the different methods presented for logo detection and recognition in literature survey. This review paper is our future roadmap in this research field. Logo matching and recognition is important for brand advertising and surveillance applications and it discovers either improper or non-authorized use of logos. An effective logo matching and recognition method for detect logos in a high-motion sports videos. The central issues of this technology are fast localization and accurate matching and unveil the malicious use of logos that have small variation with respect to the original. A novel solution for logo matching and recognition based on Context-Dependent Similarity (CDS) kernel is proposed and it’s able to match and recognize multiple instances of multiple reference logos in image archives. Query logo and target logo images consist of spatial context of local features like interest points, regions. KEYWORDS:- logo recognition, CDS, SIFT, RANCSAC.
Cite this article:
Prof. Mrunalinee Patole, Meera Sambhaji Sawalkar , " Improved approach for Logo Detection and Recognition " , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS) , Volume 3, Issue 6, November - December 2014 , pp. 257-261 , ISSN 2278-6856.
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International Journal of Emerging Trends & Technology in Computer Science (IJETTCS)
ISSN 2278-6856
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