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Application of Prediction Software in Palmistry

IJCA Proceedings on National Conference on Recent Trends in Computing
© 2012 by IJCA Journal
NCRTC - Number 4
Year of Publication: 2012
Aditya K Navpat
Rahul Mukherjee
Vishaka Pandita
Sumeet Gupta

Aditya K Navpat, Rahul Mukherjee, Vishaka Pandita and Sumeet Gupta. Article: Application of Prediction Software in Palmistry. IJCA Proceedings on National Conference on Recent Trends in Computing NCRTC(4):6-8, May 2012. Full text available. BibTeX

	author = {Aditya K Navpat and Rahul Mukherjee and Vishaka Pandita and Sumeet Gupta},
	title = {Article: Application of Prediction Software in Palmistry},
	journal = {IJCA Proceedings on National Conference on Recent Trends in Computing},
	year = {2012},
	volume = {NCRTC},
	number = {4},
	pages = {6-8},
	month = {May},
	note = {Full text available}


Palmistry is the art of foretelling the future through the study of the palm lines. Palmistry consists of the practice of reviewing and analysing a person's past potentials and the justice that the person has done to those potentials. Palmistry is not just an art but it is a science. Research says that the various patterns of fingerprints and the fine lines on the palm are established by the fourth month of life in the womb. In other words, the behavioural pattern (i. e. the way in which the foetus curls his/her palm) of the foetus in the womb is reflected on the palm lines. This paper discusses the design of a system that helps in predicting the palmistry details by scanning an image of the palm and then applying the concepts of image processing so as to predict the palmistry based details of the user. The system will provide the user an automated analysis of person's palm. The output produced by system will be unbiased as it will use image processing for the extraction of lines. Hence the proposed system is an unbiased and reliable system.


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