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SHU-KUO SUN AND ZEN CHEN
Department of Computer Science
National Chiao Tung University
Hsinchu, 300 Taiwan
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.
Received May 4, 2009; revised August 4, 2009; accepted August 25, 2009.
Communicated by Pau-Choo Chung.