This paper proposes the method of designing and implementation of optical palm scanner. An individual’s palm lines do not significantly change after a certain age. This paper explains the method of extracting clear palm print image. This image will highlight creases and ridges pattern in the palm which will be distinct to each disorders and diseases. This image can further be used by physician to monitor the health state of individual.

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Abstract—This paper proposes the method of designing and
implementation of optical palm scanner. An individual’s palm
lines do not significantly change after a certain age. This paper
explains the method of extracting clear palm print image. This
image will highlight creases and ridges pattern in the palm which
will be distinct to each disorders and diseases. This image can
further be used by physician to monitor the health state of
individual.
I. INTRODUCTION
Palm normally contains distinct and stable features such as
principle lines, secondary creases (wrinkles) and ridges. The
three major flexions are genetically dependent, most of others
are not. These are not affected by age and accessories. These
non-genetically deterministic and complex patterns , are very
useful in monitoring health care. This method mainly focuses
on feature extraction. These features are extracted from the
optical palm scanner. This method is advanced than the
existing manual laborious ink based methods used in labs.
Scanner gives a high quality, clear palm image containing
these features. Further this can be analyzed by the physicist to
identify various diseases and vulnerability to others. The palm
features are distinct for different health disorders.
II. THEORY AND BACKGROUND
Classification of palm print and its features:
We can divide palmprint images in two categories –
Online and Offline
In offline palm print, we use images that are previously taken
from inked pad and convert them into digital form by a digital
scanner. This method is tedious and so we are not using it.
In online palm print, we use input devices like our palm
scanner connected to a computer to transfer palm print directly
for real time processing.
Features of Palm:-
These are the features that need to be highlighted in the image
1. Palm geometric features: This feature includes
width, length and area of palm‟s shape.
2. Principle line features: These are unique and
important physiological characteristics.
3. Palm texture feature: It includes wrinkles of palm.
Hence these need to be removed to extract the
principle lines.
4. Data point features: These features has delta like
central region of the palm.
III. DESIGN OF OPTICAL PALM SCANNER
A. Light Source
For the design of the optical palm scanner, we first need to
design the Light source comprising of white LEDs. These
LEDs are arranged in such a manner so that we obtain the
required luminosity of 400 lux. So we use two identical LED
arrays so that we get the correct picture of the image. The
shape of LED chosen for this purpose is “S” so we can get the
required luminosity with minimum number of LED, on the
acrylic sheet which acts as palm placing platform.
B. Camera Specifications
For capturing the image of the palm, we use HD webcam to
get high clarity image. The specifications of the camera are
mentioned in table [1].
C. Timing and Operation Control
Design and Implementation of
Optical Palm Scanner
Greeshma K G, Sowmya Poojary, Swathi G, Vidyashree H I, K V Nagalakshmi

2. IDL - International Digital Library Of
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The Arduino board (Arduino Uno board) is used to set the
timing for image capturing and processing. The pressure
sensor (MS5837-30BA) is used to ensure proper placing of
palm. The switching of indication LEDs as well as LED array
source are controlled using Arduino programming.
IV. IMPLEMENTATION
There are two main steps involved in implementation of palm
scanner. The block diagram of the proposed system is in fig
[1].
1. Image capturing
In this first step we collect the image of palm from the
scanner. The user is asked to place the palm on the capturing
platform. The colored image is captured from the webcam
and the image is then converted to grey scale before applying
preprocessing operations which involves filtration operation
on the image obtained. In this step the background noise
having low frequency is removed, normalize the image
intensity for pixel and removing existing reflections. This
results in enhancement of the captured image. (Refer fig[2])
2. Palm Feature Extraction
For extraction of the major lines from the palm image, the
preprocessed image is filtered using a low pass filter which
removes the lighter unnecessary lines and highlights the
required lines. Morphological transformations are applied on
the filtered image. These transformations include opening
used to remove the background noise, closing which helps in
removing small holes inside the foreground objects. Canny
Edge algorithm is used to detect start and end of principle
lines and creases. (Refer fig [3])
V. RESULTS
The designed palm scanner can take any number of user palm
prints. Each clear palm print image is extracted and separately
stored. This stored image that is scalable, can be used to
identify the current health state of individual. The difference
in the principal lines, creases and ridges can be used to
determine the individual health state. However, the patterns of
lines which determine the health state is beyond the scope of
this paper as our aim is just to design and implement optical
palmscanner.
VI. CONCLUSIONS
In this paper we have proposed a novel method of palm print
acquisition mechanism which is able to capture real time palm
images that are of high quality with less cost and effective
functionality. In our proposed approach we could get accurate
faster response when compared to existing ink based methods.
Our proposed system is able to obtain features from a palm
including principal lines, wrinkles and ridge texture with
better efficiency. For the user interface, we have specially
designed an acrylic platform which allows all the light to
reflect from the palm surface without any hindrance thus
getting a better quality palm print.
VII. FUTURE SCOPE
For future improvements, the focus needs to be on the
database management which will be required to store the palm
prints of various individuals. Comparison algorithms can also
be used to compare the individual‟s vulnerability to other
diseases. The early diagnose of diseases helps in its prevention
and can be cured at a faster rate. The designed optical scanner
can also be extended to other applications.
VIII. REFERENCES
1. Shannon, C.E.: „Communication in the presence of
noise‟, Proc. IRE, 1949, 37, (1), pp. 10-21
2. Zhang, D.: „Automated biometrics - technologies and
systems‟ (Kluwer Academic Publishers, 2000)
3. Holst, G.C.: „CCD arrays, cameras, and displays‟
(JCD Publishing and SPIE Optical Engineering Press,
USA, 1998)
4. Han, C.C., Cheng, H.L., Lin, C.L., and Fan, K.C.:
„Personalauthentication using palm-print features‟,
Pattern Recognition., 2003,36, (2), pp. 371–381
5. Jain, A.K., Hong, L., and Bolle, R.: „On-line
fingerprint verification‟, IEEE Trans. Pattern Anal.
Mach. Intell., 1997, 19, (4),pp. 302–314

3. IDL - International Digital Library Of
Technology & Research
Volume 1, Issue 4,April 2017 Available at: www.dbpublications.org
International e-Journal For Technology And Research-2017
IDL - International Digital Library 3 | P a g e Copyright@IDL-2017
Camera specifications: Table [1]
Screen Resolution 1280 x 720
Picture clarity 5MP
Height 15.2cm
Width 7.6cm
Upload Speed 1Mbps
Autofocus Enabled
Built in features Automatic light correction with
noise reduction
Block Diagram: Figure [1]
Image capturing: figure [2]
Different palm images Figure[3]