Prediction of Health Conditions with Dermatoglyphic Palm Pattern Prints
Benjamin Choy Kai Ghit1, Li Fang2, Song Liting3, Kwek Jia Long4
1Benjamin Choy Kai Ghit, Department of Computer Engineering, Nanyang Technological University, Singapore, Singapore.
2Dr. Li Fang, Lecturer, Division of Hardware and Embedded Systems Nanyang Technological University, Singapore, Singapore.
3Song Liting, Department of Computer Engineering, Nanyang Technological University, Singapore, Singapore.
4Kwek Jia Long, Department of Computer Engineering, Nanyang Technological University, Singapore, Singapore.
Manuscript received on September 04, 2015. | Revised Manuscript received on September 14, 2015. | Manuscript published on September 30, 2015. | PP: 8-18 | Volume-2 Issue-10, September 2015. | Retrieval Number: J03340921015
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: There exists a close relation between the dermatoglyphic patterns of palms and the health condition of an individual, and hence a plausible prognosis. This builds upon the overall physical façade of the palm in giving a synoptic overview on an individual’s state of health. The applications for palm prints in the area of biometric identification and security are myriad, and in recent years, its research and utilisation in health sciences has burgeoned. This paper aims to provide the research process, analysis and findings on the prognosis of some existing health conditions, such as schizophrenia, intellectual disability, and liver disease; based on the analyses of palm prints. The image processing and classification methods employed work on features like the palm patterns, lines, ridges, shape and colouration. For the purpose of this paper, work done is focused on the lines and colouration of palms. The applications and analyses serve as a rudimentary development guide for fut enhancements.
Keywords: Dermatoglyphic palm pattern prints, Health condition,Histogram equalization, Image recognition.