KSII Transactions on Internet and Information Systems (TIIS)

Korean Society for Internet Information (한국인터넷정보학회)
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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)
  • Received : 2016.03.15
  • Accepted : 2017.01.16
  • Published : 2017.03.31
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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.

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References

  1. Banafshe Arbab-Zavar and Mark S. Nixon, "On guided model-based analysis for ear biometrics," Computer Vision and Image Understanding, 115, 487-502, 2011. https://doi.org/10.1016/j.cviu.2010.11.014
  2. Septimiu Crisan, Ioan Gavril Tarnovan, and Titus Eduard Crisan, "Radiation optimization and image processing algorithms in the identification of hand vein patterns," Computer Standards & Interfaces, 32, 130-140, 2010. https://doi.org/10.1016/j.csi.2009.11.008
  3. R. M. Farouk, "Iris recognition based on elastic graph matching and Gabor wavelets," Computer Vision and Image Understanding, 115, 1239-1244, 2011. https://doi.org/10.1016/j.cviu.2011.04.002
  4. Zhen-Hua Feng, Guosheng Hu; Kittler, J., Christmas, W., Xiao-Jun Wu, "Cascaded Collaborative Regression for Robust Facial Landmark Detection," IEEE Transactions on Image Processing, vol. 24, no. 11, pp. 3425 - 3440, 2015. https://doi.org/10.1109/TIP.2015.2446944
  5. Miguel A. Ferrer and Aythami Morales, "Hand-Shape Biometrics Combining the Visible and Short-Wave Infrared Bands," IEEE transactions on information forensics and security, vol. 6, no. 4, December. 2011.
  6. Cong Geng and Xudong Jiang, "Face Recognition Based on the Multi-Scale Local Image Structures," Pattern Recognition, 44, 2565-2575, 2011. https://doi.org/10.1016/j.patcog.2011.03.011
  7. S.G. Kong, R.O. Mbouna, "Head Pose Estimation From a 2D Face Image Using 3D Face Morphing With Depth Parameters," IEEE Transactions on Image Processing, vol. 24, no. 6, pp. 1801-1808, 2015. https://doi.org/10.1109/TIP.2015.2405483
  8. Ajay Kumar and Chenye Wu, "Automated Human Identification Using Ear Imaging," Pattern Recognition, 45, 956-968, 2012. https://doi.org/10.1016/j.patcog.2011.06.005
  9. Haifeng Hu, "Multiscale illumination normalization for face recognition using dual-tree complex wavelet transform in logarithm domain," Computer vision and image understanding, 115, 1384-1394, 2011. https://doi.org/10.1016/j.cviu.2011.06.004
  10. Deng-Yuan Huang, Wu-Chih Hu, and Sung-Hsiang Chang, "Gabor filter-based hand-pose angle estimation for hand gesture recognition under varying illumination," Expert Systems with Applications, 38, 6031-6042, 2011. https://doi.org/10.1016/j.eswa.2010.11.016
  11. Hong Huang, JiaminLiu, Hailiang Feng, and Tongdi He, "Ear Recognition Based on Uncorrelated Local Fisher Discriminant Analysis," Neurocomputing, 74, 3103-3113, 2011. https://doi.org/10.1016/j.neucom.2011.04.022
  12. Vivek Kanhangad, Ajay Kumar, and David Zhang, "A Unified Framework for Contactless Hand Verification," IEEE transactions on information forensics and security, vol. 6, no. 3, September 2011.
  13. S.G. Kong, R.O. Mbouna, "Head Pose Estimation From a 2D Face Image Using 3D Face Morphing With Depth Parameters," IEEE Transactions on Image Processing, vol. 24, no. 6, pp. 1801 - 1808, 2015. https://doi.org/10.1109/TIP.2015.2405483
  14. Antonio Iula and Michele De Santis, "Experimental evaluation of an ultrasound technique for the biometric recognition of human hand anatomic elements," Ultrasonics, 51, 683-688, 2011. https://doi.org/10.1016/j.ultras.2011.01.010
  15. Leila Mansourian, Muhamad Taufik Abdullah, Lilli Nurliyana Abdullah, Azreen Azman, and Mas Rina Mustaffa, "A Salient Based Bag of Visual Word Model (SBBoVW): Improvements toward Difficult Object Recognition and Object Location in Image Retrieval," KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS, VOL. 10, NO. 2, pp. 769 - 786, Feb. 2016. https://doi.org/10.3837/tiis.2016.02.018
  16. D. Muramatsu, A. Shiraishi, Y. Makihara, M.Z. Uddin, Y. Yagi, "Gait-Based Person Recognition Using Arbitrary View Transformation Model," IEEE Transactions on Image Processing, vol. 24, no. 1, pp. 140 - 154, 2015. https://doi.org/10.1109/TIP.2014.2371335
  17. Lin Zhang, Ying Shen, Hongyu Li, Jianwei Lu, "3D Palmprint Identification Using Block-Wise - Features and Collaborative Representation," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 37, no. 8, 1730-1736, 2015. https://doi.org/10.1109/TPAMI.2014.2372764
  18. Yan Zhou, Qingwu Li, and Guanying Huo, "Human Visual System based Automatic Underwater Image Enhancement in NSCT domain," KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS, VOL. 10, NO. 2, pp. 837 - 856, Feb. 2016. https://doi.org/10.3837/tiis.2016.02.022

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