Open AccessEarly Stage Disease Diagnosis Using Human Nail In Image Processing
Author(s) -
R. Sharine,
Jeffrey D. Sharon,
G. S. Uthayakumar
Publication year - 2021
Publication title -
international journal of advanced research in science, communication and technology
Language(s) - English
Resource type - Journals
ISSN - 2581-9429
DOI - 10.48175/ijarsct-970
Subject(s) - nail (fastener) , feature (linguistics) , artificial intelligence , computer science , image (mathematics) , stage (stratigraphy) , process (computing) , identification (biology) , medicine , pattern recognition (psychology) , computer vision , engineering , biology , mechanical engineering , philosophy , linguistics , botany , operating system , paleontology
Human’s hand nail is analysed to identify many diseases at early stage of diagnosis. Study of person hand nail colour helps in identification of particular disease in healthcare domain. The proposed system guides in such scenario to take decision in disease diagnosis. The input to the proposed system is person nail image. The system will process an image of nail and extract features of nail which is used for disease diagnosis. Human nail consist of various features, out of which proposed system uses nail colour changes for disease diagnosis. Here, first training set data is prepared using Weka tool from nail images of patients of specific diseases. A feature extracted from input nail image is compared with the training dataset to get result. In this experiment we found that using color feature of nail image average 65% results are correctly matched with training set data during three tests conducted. Finally, the early-stage diseases are diagnosed using the Human Nail.