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Reseach Article

Application of Prediction Software in Palmistry

Published on May 2012 by Aditya K Navpat, Rahul Mukherjee, Vishaka Pandita, Sumeet Gupta
National Conference on Recent Trends in Computing
Foundation of Computer Science USA
NCRTC - Number 4
May 2012
Authors: Aditya K Navpat, Rahul Mukherjee, Vishaka Pandita, Sumeet Gupta
521b4c8e-242b-4aaa-9859-ba021cfd221d

Aditya K Navpat, Rahul Mukherjee, Vishaka Pandita, Sumeet Gupta . Application of Prediction Software in Palmistry. National Conference on Recent Trends in Computing. NCRTC, 4 (May 2012), 6-8.

@article{
author = { Aditya K Navpat, Rahul Mukherjee, Vishaka Pandita, Sumeet Gupta },
title = { Application of Prediction Software in Palmistry },
journal = { National Conference on Recent Trends in Computing },
issue_date = { May 2012 },
volume = { NCRTC },
number = { 4 },
month = { May },
year = { 2012 },
issn = 0975-8887,
pages = { 6-8 },
numpages = 3,
url = { /proceedings/ncrtc/number4/6536-1026/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Recent Trends in Computing
%A Aditya K Navpat
%A Rahul Mukherjee
%A Vishaka Pandita
%A Sumeet Gupta
%T Application of Prediction Software in Palmistry
%J National Conference on Recent Trends in Computing
%@ 0975-8887
%V NCRTC
%N 4
%P 6-8
%D 2012
%I International Journal of Computer Applications
Abstract

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.

References
  1. "Palmistry art" http://www. ofesite. com/home. htm.
  2. Laura Liu and David Zhang ,"Palm Line Detection ", 2005 International Conference on Image Processing (ICIP) , Genova, Italy, 2005, p. 269-272.
  3. "Art of Palmistry" http://en. wikipedia. org/wiki/Palmistry, July 2011
  4. "Android Market" www. market. android. com
  5. Koichi Ito, Takafumi Aoki, Hiroshi Nakajima, Koji Kobayashi and Tatsuo Higuchi, "A palm print recognition algorithm using phase-based image matching", 2006 IEEE International Conference on Image Processing, Atlanta, GA, 2006, p. 2669 – 2672.
  6. Speed Palmistry by V. R Sharma
Index Terms

Computer Science
Information Sciences

Keywords

Digital Image Processing Palmistry Prediction Scanned Image Palm Skin Tones