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Early Stage Disease Diagnosis System Using Human Nail Image Processing
Author(s) -
Trupti S. Indi,
Yogesh A. Gunge
Publication year - 2016
Publication title -
international journal of information technology and computer science
Language(s) - English
Resource type - Journals
eISSN - 2074-9015
pISSN - 2074-9007
DOI - 10.5815/ijitcs.2016.07.05
Subject(s) - nail (fastener) , computer science , feature (linguistics) , artificial intelligence , image (mathematics) , data set , set (abstract data type) , process (computing) , computer vision , stage (stratigraphy) , identification (biology) , pattern recognition (psychology) , biology , engineering , mechanical engineering , philosophy , linguistics , programming language , operating system , paleontology , botany
Human’s hand nail is analyzed to identify\udmany diseases at early stage of diagnosis. Study of person\udhand nail color helps in identification of particular\uddisease in healthcare domain. The proposed system\udguides in such scenario to take decision in disease\uddiagnosis. The input to the proposed system is person nail\udimage. The system will process an image of nail and\udextract features of nail which is used for disease diagnosis.\udHuman nail consist of various features, out of which\udproposed system uses nail color changes for disease\uddiagnosis. Here, first training set data is prepared using\udWeka tool from nail images of patients of specific\uddiseases. A feature extracted from input nail image is\udcompared with the training data set to get result. In this\udexperiment we found that using color feature of nail\udimage average 65% results are correctly matched with\udtraining set data during three tests conducted

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