KSII Transactions on Internet and Information Systems (TIIS)

  • 제11권3호
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  • Pages.1650-1669
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  • 2017
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  • 1976-7277(pISSN)
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  • 1976-7277(eISSN)
한국인터넷정보학회 (Korean Society for Internet Information)
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Ear Recognition by Major Axis and Complex Vector Manipulation

  • Su, Ching-Liang (Department of Industrial Engineering and Technology Management Da Yeh University)
  • 투고 : 2016.03.15
  • 심사 : 2017.01.16
  • 발행 : 2017.03.31
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초록

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.

키워드

참고문헌

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피인용 문헌

  1. Finger Recognition by Feature Length vol.292, pp.None, 2017, https://doi.org/10.1051/matecconf/201929204009