dc.contributor.authorSong, Daphne Liting
dc.date.accessioned2014-04-22T04:09:01Z
dc.date.available2014-04-22T04:09:01Z
dc.date.copyright2014en_US
dc.date.issued2014
dc.identifier.urihttp://hdl.handle.net/10356/59070
dc.description.abstractIn our modern society, doctors rely on many kinds of tests to diagnose a patient's disease. They rely on the medical history of the patient and laboratory test results to trace the problem. The skin is an essential organ and changes on the skin often serve as early warnings of hidden, more serious illnesses. Additionally, studies suggest that 1-4% of internal cancers will show indications on the skin. Similarly, the colour of the palm may show signs of underlying health problems. If the palm colour appears either darker or lighter than normal, this may indicate that the person is unhealthy. Traditional Chinese Medicine (TCM) palm diagnosis focuses on studying the pathological patterns and warning symptoms of diseases. Problems with different internal organs manifest symptoms on different regions of the palm. Analysis of palm colour may thus be an early diagnosis tool to identify and predict diseases earlier than other conventional techniques. The aim of this project is to study palm colours and determine the health status of an individual. Firstly, we need to collect sufficient palm prints to have a large enough sample size. The palm prints collected are categorized into different age groups. Based on the result, the most significant finding was that the senior citizen age group has a huge range in grayscale values as compared to other age groups.en_US
dc.format.extent44 p.en_US
dc.language.isoenen_US
dc.rightsNanyang Technological University
dc.subjectDRNTU::Engineering::Computer science and engineering::Software::Programming languagesen_US
dc.titleVein matching enhancementen_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorLi Fangen_US
dc.contributor.schoolSchool of Computer Engineeringen_US
dc.description.degreeCOMPUTER SCIENCEen_US


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