DocumentCode
2365833
Title
A study on palmistry color reflectance related to personality of subject
Author
Hassan, Siti Lailatul Mohd ; Hashim, Hadzli ; Abdullah, Noor Ezan ; Azman, Abdul Hadi
Author_Institution
Fac. of Electr. Eng., Univ. Teknol. MARA (UiTM), Shah Alam, Malaysia
fYear
2011
fDate
25-27 April 2011
Firstpage
170
Lastpage
175
Abstract
Palmistry technique is traditionally known as an ancient art of reading the palm and it can be found in many parts of the world. Since blood circulation in the palm contains valuable information about the health condition of a person, this technique acts as one of the aid tools for diagnosing purposes. This paper presents a novel study on palmistry color reflectance related to personality of subject. The main objective is to collect personality and health information as well as to capture palm images digitally from sample of subjects representing various faculties at Universiti Teknologi Mara. Afterwards, appropriate statistical tools will be used for significant information that can relate personality and health index. This paper focus on contribution in the field of color image processing of palmistry with the help of advanced RGB color image processing techniques in order to study the personality index of a subject. In this work, samples of palm images are digitally captured under standard and control environment. Other characteristic parameters representing the subject´s personality are also taken. Statistical tools are applied to the quantified color component indices from the processed image for significant findings that can relate color of palm with respect to the subject´s character. As the conclusion, the non-social group can be discriminated from all other groups based on all color components.
Keywords
haemodynamics; medical image processing; patient diagnosis; RGB color image processing; blood circulation; health condition; health index; health information; palm reading; palmistry color reflectance; statistical tools; subject personality; Analysis of variance; Color; Green products; Image color analysis; Pixel; Reflectivity; Skin; Digital Image Processing; Palmistry; RGB; SPSS;
fLanguage
English
Publisher
ieee
Conference_Titel
Electronic Devices, Systems and Applications (ICEDSA), 2011 International Conference on
Conference_Location
Kuala Lumpur
ISSN
2159-2047
Print_ISBN
978-1-61284-388-9
Type
conf
DOI
10.1109/ICEDSA.2011.5959094
Filename
5959094
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