標題: Robust Logo Recognition for Mobile Phone Applications
作者: Sun, Shu-Kuo
Chen, Zen
資訊工程學系
Department of Computer Science
關鍵字: logo recognition and retrieval;mobile phone camera;geometric and photometric transformations;Zernike moments;phase and magnitude information;precision and recall
公開日期: 1-三月-2011
摘要: In the paper, a new recognition method for logos imaged by mobile phone cameras is presented which can be incorporated with mobile phone services for use in enterprise identification, corporate website access, traffic sign reading, security check, content awareness, and the related applications. The main challenge in applying the logo recognition for mobile phone applications is the inevitable photometric and geometric transformations encountered when a handheld mobile phone camera operates at a varying viewpoint under different lighting environments. A new distinctive logo feature vector and an associated similarity measure are proposed for logo recognition using the Zernike moment (ZM) phase information. The discriminative power of the new logo recognition method is compared with three major existing methods. The experimental results indicate that the proposed ZM phase method has the best performance in terms of the precision and recall criterion under the above inevitable imaging variations. An analysis on the performances of the four recognition methods is given to account for the performance discrepancy.
URI: http://hdl.handle.net/11536/9186
ISSN: 1016-2364
期刊: JOURNAL OF INFORMATION SCIENCE AND ENGINEERING
Volume: 27
Issue: 2
起始頁: 545
結束頁: 559
顯示於類別:期刊論文


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