Abstract
In this paper, we present new fingernail biometric as a possibility in pattern recognition and establish its prospects experimentally. In this perspective composition, we propose a method adapted in three stages. In stage one, the finger biometric which exhibits Gaussians of objects is identified as background and foreground elements is modeled for segmentation of relevant regions. Preliminary methods include intensity adjustment to reduce noise, contrast enhancement for edge detection, and morphological operation to improve finger region from noisy background. In stage two, iterative histogram-based thresholding of multispectral image (R, G, and B components) to binarize fingernail region from finger object is adapted. In stage three, geometric feature calculation makes it possible to identify fingernail into different shapes as oval, round, and rectangular. Nail dimension and shape features are used for the recognition. With this designed system, we are able to achieve 80 % recognition rate and initial results are encouraging.
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References
Duda, R.O., Hart, P.E.: Pattern Classification and Scene Analysis. Wiley, New York (1973)
Jain, A.K., et al.: Statistical pattern recognition: a review. IEEE Trans. Pattern Anal. Mach. Intell. 22(1), 4–37 (2000)
Christopher, M.B.: Pattern Recognition and Machine Learning. Springer, New York (2007)
Yu, S., et al.: Eigen nail for finger force direction recognition. IEEE International Conference on Robotics and Automation, 1-4244-0602-1/07 (2007)
Adekunle, O.G.: Finger nail plate shape and size for personal identification—a possible low technology method for the developing world—preliminary report. Afr. J. Health Sci. 12, no. 1–2, 13–20 (2005)
Snelick, R., et al.: Large scale evaluation of multimodal biometric authentication using state-of-the-art systems. IEEE Trans. Pattern Anal. Mach. Intell. 27(3), 450–455 (2005)
Mascaro, S.A.: Fingernail touch sensors: spatially distributed measurement and hemodynamic modeling robotics and automation. In: Proceedings ICRA, IEEE International Conference, vol. 4, pp. 3422–3427 (2000)
Anderson, T.D., et al.: A validation study for the extraction and analysis of DNA from human nail material and its application to forensic casework. J. Forensic Sci. 44(5), 1053–1056 (1999)
Delmar, J., et al.: A study of trace metals in fingernails and hair using neutron activation analysis. J. Nucl. Med. 1970(11), 739–742 (1970)
Michael Jackson Hands In The News. http://www.handresearch.com
Parts of the Nail and Pictures- Human Finger and Toe. http://www.healthhype.com
Geometry. http://mathworld.wolfram.com
Image enhancement-nptel. http://nptel.ac.in/courses/117104069
Gonzalez, R., Woods, R.: Digital Image Processing. Addison-Wesley Publishing Company, Reading (1992)
Wang, J.P.: Stochastic relaxation on partitions with connected components and its application to image segmentation. PAMI 20(6), 619–636 (1998)
Ma, W.Y., Manjunath, B.S.: Edge flow: a framework of boundary detection and image segmentation. In: Proceedings of CVPR, pp. 744–49 (1997)
Luc, V.: Morphological grayscale reconstruction in image analysis; application and efficient algorithms. IEEE Trans. Image Process. 2(2), 176–201 (1993)
Comaniciu, D., et al.: Robust analysis of feature spaces: color image segmentation. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, pp. 750–755 (1997)
Hong, L., Jain, A.K.: Integrating faces and fingerprints for personal identification. IEEE Trans. Pattern Anal. Mach. Intell. 20(12), 1295–1307 (1998)
Borsotti, M., et al.: Quantitative evaluation of color image segmentation results. Pattern Recogn. Lett. 19(8), 741–748 (1998)
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Kumuda, N.S., Dinesh, M.S., Hemantha Kumar, G. (2016). Characterization of Human Fingernails Using Iterative Thresholding Segmentation. In: Satapathy, S., Raju, K., Mandal, J., Bhateja, V. (eds) Proceedings of the Second International Conference on Computer and Communication Technologies. Advances in Intelligent Systems and Computing, vol 381. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2526-3_28
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DOI: https://doi.org/10.1007/978-81-322-2526-3_28
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