Abstract a person. Palm reading is equally

Abstract

Palm reading is a practise used very well  in Indian astrology and Roman fortune-telling.
It is practiced all over the world. The
objective is to evaluate a person’s character or future by studying the palm of
their hand. Basically palm reading is used to read about the character traits
of a person. Palm reading is equally beneficial for the medical field people.
Palm reading has gained importance in detecting about the disease a human is
suffering from. Currently, there is
a lack of mobile applications that allow palm reading to be done automatically
and efficiently. This study aims at developing an application which could be
run as an mobile application which aims at developing an effective algorithm. Automatic
Palm reading is a mobile application which uses fuzzy logic and data
interpretation for the prediction of health related status and about the
person’s behavior. Our palm reading
algorithm uses image processing operations like an adaptive thresholding
approach to segment the palm image from the background, extract the fingers and
calculate their length, extract the three principal palm lines in which
regression is applied to produce connected and continuous palm lines. Based on
the information gathered from the palm lines, our application predicts health related
information like whether the person is suffering or has symptoms leading to heart
disease, lung disease, etc. by using fuzzy logic.

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Key word — Palm
reading, health, mobile, automatic, Android, OpenCV, Java

Introduction

Palm Reading is a traditional practice which is done in India and China .
From the ancient remaining records of the frescoes in ruins of India and words passed down from Brahmanism,
we can find palmistry was very popular in India at that time. Palmistry with
the meaning of palm reading or hand prediction is to learn a person’s
personalities, fortune and future by analyzing his/her hands. It is also called
Chiromancy. Palmistry is not only used to read one’s hand or palm ,it is
also used for reading of arm , finger and fingernail. By analysing one’s hand
or palm, finger, fingernail, arm we are able to discover about the character
traits, health, wisdom, marriage and many other aspects of a person.

Now-a-days
people prefer investing time in mobile applications. Currently, there are lack
of mobile applications that allow palm reading to be done efficiently. So we
proposed to develop an mobile application that works effectively and
efficiently. Automatic Palm Reading is a mobile application which will be used to
learn a person’s fortune , future and personality. Automatic Palm Reading is based on Android
platform.

Medical World is greatly influenced by the palm reading. The design,
implementation, and use of biomedical information systems in the form of
computer – aided decision support have become essential and widely used
over the last two decades. Medical scientists discovered that the hand can be
used as an indicator for medical problems and the palm is the reflection of
activities going on brain. The purpose of this application is to design and
implement a decision support model for healthcare on the basis of medical
palmistry to diagnose the diseases.

The algorithm starts with capturing of the palm image and extracting the
principle palm lines. Various image processing techniques like histogram
equalization, sharpening, masking, removing noise, etc. are applied on the
input images to get a clear sharpened image without noise. This helps in the
extraction of the palm lines. The palm lines
provide patterns that can be compared to past findings in predicting the
illnesses. . Fuzzy Inference
System is used to present medical knowledge as network diseases connected with
each other by logical relations. This
is beneficial for observing illnesses as it saves time and effort and provides
insights on further studies of the person’s health.The rest of the paper is
structured into 7 sections. In section 2 and 3, literature review of the
related work is presented. In section 4, the proposed methodology is presented
and details regarding the algorithm to be used is explained. In section 5, the
requirements are specified. In section 6, the future work and finally in
section 7 conclusion has been included.