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Conference articles · 2021

Skin Disease Recognition: A Machine Vision Based Approach

Anika Nawar, Noor Kibria Sabuz, Shah Md. Tanvir Siddiquee, Masud Rabbani, Al Amin Biswas, Anup Majumder

2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS) · Volume 1 · Pages 1029–1034

Abstract

Progressively a large number of people are being invaded by various types of skin diseases all over the world. With the help of modern medical equipment, it is very much easy to find out the diseases. But sometimes people wouldn’t able to reach a hospital or any diagnostic center in a short time and it is also very much costly for most people especially for developing country. In that scenario, we proposed a prototype in this paper by which we can recognize the problem urgently and at a low cost. Mainly this is an image processing technique. Using color segmentation technique with SVM classifier, our proposed system can recognize several types of skin diseases based on some feature extraction. This method efficiently recognizes eight different skin diseases with an accuracy rate of percentage is 94.79%. Our recommended model is so simple, fast, and requires any kinds of programmable devices like desktop, android phones, tabs, IOS, and so on.

Publication details

Category
Conference articles
Authors & affiliations
  1. Anika NawarDepartment of Computer Science and Engineering, Daffodil International University, Dhaka, Bangladesh
  2. Noor Kibria SabuzDepartment of Computer Science and Engineering, Daffodil International University, Dhaka, Bangladesh
  3. Shah Md. Tanvir SiddiqueeDepartment of Computer Science and Engineering, Daffodil International University, Dhaka, Bangladesh
  4. Masud RabbaniDepartment of Computer Science and Engineering, Daffodil International University, Dhaka, Bangladesh
  5. Al Amin BiswasDepartment of Computer Science and Engineering, Daffodil International University, Dhaka, Bangladesh
  6. Anup MajumderDepartment of Computer Science and Engineering, Jahangirnagar University, Dhaka, Bangladesh
Venue
2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS)
Publisher
IEEE
Record
Volume 1 · Pages 1029–1034
Published
2021
Cite this work

Anika Nawar, Noor Kibria Sabuz, Shah Md. Tanvir Siddiquee, Masud Rabbani, Al Amin Biswas, Anup Majumder. “Skin Disease Recognition: A Machine Vision Based Approach”. 2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS), 1, 1029–1034. (2021). https://doi.org/10.1109/ICACCS51430.2021.9441980.

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Research topics

  • Machine vision
  • performance metric
  • recognition
  • SVM
  • skin diseases
  • classification
  • skin disease recognition
  • machine vision
  • image segmentation
  • feature extraction
  • support vector machine
  • low-cost screening