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Automated Medical Palmistry System based on Image Processing Techniques

Journal: International Journal of Science and Research (IJSR) (Vol.10, No. 10)

Publication Date:

Authors : ;

Page : 363-367

Keywords : Palm Reader; Medical Palmistry; Automated Medical Palmistry System (AMPS); Image Processing and Analysis; IPAA; Palm Colour Detection;

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An application of digital image processing and analysis techniques has been discussed, that can be useful in healthcare domain to predict some major diseases for human being. The application is an image processing system, which works based on medical palmistry. The images of human palm form input to the system. Then, system applies digital image processing and analysis techniques on input images to identify certain features in the image. By using knowledge base of medical palmistry, it analyzes certain features in image and predicts probable disease. Palmistry is a science which observes human palm by different aspects and derives conclusions about nature of the person. By observing nails and palm to indicate specific diseases, based on their position on lines, mounts and fingers describes an Automated Medical Palmistry System (AMPS). This can be useful in healthcare domain to predict diseases for human being.

Last modified: 2022-02-15 18:46:47