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http://dx.doi.org/10.3837/tiis.2017.03.022

Ear Recognition by Major Axis and Complex Vector Manipulation  

Su, Ching-Liang (Department of Industrial Engineering and Technology Management Da Yeh University)
Publication Information
KSII Transactions on Internet and Information Systems (TIIS) / v.11, no.3, 2017 , pp. 1650-1669 More about this Journal
Abstract
In this study, each pixel in an ear is used as a centroid to generate a cake. Subsequently the major axis length of this cake is computed and obtained. This obtained major axis length serves as a feature to recognize an ear. Later, the ear hole is used as a centroid and a 16-circle template is generated to extract the major axis lengths of the ear. The 16-circle template extracted signals are used to recognize an ear. In the next step, a ring-to-line mapping technique is used to map these major axis lengths to several straight-line signals. Next, the complex plane vector computing technique is used to determine the similarity of these major axis lengths, whereby a solution to the image-rotating problem is achieved. The aforementioned extracted signals are also compared to the ones that are extracted from its neighboring pixels, whereby solving the image-shifting problem. The algorithm developed in this study can precisely identify an ear image by solving the image rotation and image shifting problems.
Keywords
Major axis length; vector manipulation; ear recognition;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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