Rerkchai Fooprateepsiri, Werasak Kurutach, and Surakarn Duangphasuk
Person Identification , Trace transform, hausdorff distance, Ear Recognition
This paper proposes a robust method for ear recognition with variant scaling, rotation and image reflection. Techniques introduced in this work are composed of two parts. The first one is the detection of ear features by using the concepts of Trace Transform and Fourier transform. Then, in the second part, modified Hausdorff distance is employed to measure and determine of similarity between the models and tested images. Finally, our method is evaluated with experiments on images from the CMU PIE faces database. The extensive experimental results show that the average of accuracy rate of ear recognition with variant scaling, rotation and image reflection is higher than 96 %.
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