International Journal of Nonlinear Analysis and Applications

Fingernail analysis for early detection and diagnosis of diseases using machine learning techniques

Document Type : Research Paper

Authors

1 Department of CSE, Sri Ramakrishna Engineering College, Coimbatore, Tamil Nadu, India

2 Department of Mathematics, Rathinam Technical Campus, Coimbatore, Tamil Nadu, India

3 Department of CSE, Bannari Amman Institute of Technology, Erode, Tamil Nadu, India

4 Department of Information Technology,Sri Krishna College of Engineering and Technology, Coimbatore, Tamil Nadu, India

Abstract

Each and every human have unique fingernails. In the early days, the psychological conditions of the human body were reflected with the help of the growth situation of the surface of nails.  It is possible to diagnose human nails and predict the disease. Predicting the disease at the early stage helps in preventing the disease. In this proposed work, the image of the nail is taken from a microscopic image. The lunula and nail plate are segmented effectively using the image pre-processing techniques. Histograms of oriented gradients and local binary patterns are used to capture the characteristic value. Once after pre-processing various features of the nails are extracted using various machine learning algorithms such as Support Vector Machines, Multiclass Support Vector Machine, Convolution Neural Network along with an Optimization algorithm named Ant Colony Optimization to improve the efficiency of classification.

Keywords

[1] N. Bajpai, R. Alawadhi, A. Thakare, S. Avhad and S. Gandhat, Automated prediction system for various health
conditions by analyzing human palms and nails using image matching technique, Int. J. Sci. Engin. Res. 6 (2015),
no. 10, 609–613.
[2] P.H. Bhapkar, T.Y. Puttewar and R.Y. Patil, Topic name-nail lacquers in nail diseases, IOSR J. Pharmacy 3
(2013), no. 9, Pp 24–48.
[3] P. Hardik and D. Shah, The model of nail color analysis: An application of digital image processing, Int. J. Adv.
Res. Comput. Sci. Software Engin. 3 (2013), no. 5.
[4] S. Hsiung Lee and C. Sing Yang, Fingernail analysis management system using microscopy sensor and blockchain
technology, Int. J. Distrib. Sensor Networks 14 (2018), no. 3, 1550147718767044.
[5] T.S. Indi and Y.A. Gunge, Early stage disease diagnosis system using human nail image processing, Int. J. Inf.
Technol. Comput. Sci. 7 (2016), 30–35.
[6] T.S. Indi and S.D. Raut, Person identification based on multi-biometric characteristics, Emerg. Trends Comput.
Commun. Nanotech. Int. Conf., 2013, p. 45–52.
[7] S. Kaur, M. Sandhu and J. Kaur, Analysis of various image segmentation techniques using MATLAB, Int. J.
Adv. Res. Comput. Sci. Software Engin. 6 (2016), no. 3, 836–841.
[8] F. Noriaki and H. Kiyoshi, Fingernail detection system using differences of the distribution of the nail-color pixels,
J. Adv. Comput. Intell. Intell. Inf. 17 (2013), no. 5.
[9] G. Sahoo and Y. Kumar, Analysis of parametric and non parametric classifiers for classification technique using
WEKA, I. J. Inf. Technol. Comput. Sci. 4 (2012), no. 7, 43–49.
[10] V. Sharma and A. Shrivastava, System for disease detection by analyzing finger nails color and texture, Int. J.
Adv. Engin. Res. Sci. 2 (2015), no. 10, 1–6.
[11] G. Singh, N. Sadath Haneef and A. Uday, Nail changes and disorders among the elderly, Indian J. Dermatol.
Venereol. Lep. 71 (2005), no. 6, 386–392.
[12] A. Tsuda, H. Kato and A. Yoneyama, Nail art simulation by hue difference feature with light, Proc. 2009 IEICE
Gen. Conf., Japan, 4 March, 2009, p. 290.
[13] A. Tsuda, S. Ueno and S. Sakazawa, A method for extraction of nail area under varying luminance for the 3D
nail art system on mobile phones, IEICE Tech. Committee. PRMU 110 (2011), 381-–364.
[14] M. Waseem Khan, A survey: Image segmentation techniques, Int. J. Future Comput. Commun. 3 (2014), no. 2,
89–93.
[15] N.M. Zaitoun and M.J. Aqel, A survey on image segmentation techniques, Int. Conf. Commun. Manag. Inf.
Technol. Procedia Comput. Sci. 65 (2015), 797–806.
[16] Z. Markov and I. Russell An introduction to the WEKA data mining system, ACM SIGCSE Bull. 38 (2006), no.
3, 367–368.[17] https://www.dailymail.co.uk/health/article-15289/How-nails-reveal-health.html
[18] http://mrishaanshareef.blogspot.com/2008/10/finger-nails-to-predict-health.html
[19] https://www.betterhealth.vic.gov.au/health/conditionsandtreatments/nails-fingernail-and-toenail-problems
International Journal of Nonlinear Analysis and Applications
Volume 13, Special Issue for selected papers of ICDACT-2021
The link to the conference website is https://vitbhopal.ac.in/event/icdact_dec_21/
March 2022
Pages 61-69
  • Receive Date: 09 August 2021
  • Revise Date: 17 December 2021
  • Accept Date: 06 January 2022