This is the presentation we've submitted during our 0th review as a part of the mini project

1. 20 January 2018 1
Batch members:
D.Srinivas Reddy - 119004037
Monish Ram K - 120102008
Viswanathan B - 119004229
Lalkishen M - 119004234
Mentor: Dr. K Narasimhan
HAND GESTURE RECOGNITION USING IMAGE
PROCESSING
BECCEC608/MCSCEC608/Mini Project 1

2. 2
Introduction
Gestures
- Important aspects of Human Interaction
- Non-verbal communication commonly used by
humans in daily life
- like movement of hand, face or other parts of the
body
Hand Gesture Recognition
- Highly adaptive interface between machine and
their users with a mathematical algorithm
- User friendly access, less time consumption and
interactive approach

3. Motivation
3
• Gestures – common in personal
communication
• Gives a wide scope in developing a unique
way of Human-machine interaction
• Hand Gesture Recognition System – a
convenient tool for the disabled(dumb)
• Virtual Mouse
•In slide presentations
•Substitute for Remote

4. Objective
4
Implementation of
Human Computer
Interaction
Basic Flow Chart
Algorithms
- For background
- For recognition
Accuracy and Efficiency

5. Work Plan
5
Month Plan
January Basic Idea and algorithms required to implement the problem
statement
1st Half of
February
Referring research papers to understand the implementation of
various Hand Gesture Recognition Algorithms
2nd Half of
February
Building the program from the algorithm for implementing the
problem statement
1st Half of
March
Execution of the problem statement for certain number of
trails and analyzing it’s accuracy and efficiency
2nd Half of
March
Checking and analysing outputs for error (if any) and
accordingly modifying for the expected output

6. References
[1] Meenakshi Panwar and Pawan Singh Mehra , “Hand Gesture Recognition for
Human Computer Interaction”, in Proceedings of IEEE International Conference on
Image Information Processing(ICIIP 2011), Waknaghat,India, November 2011.
[2] Amornched Jinda-apiraksa, Warong Pongstiensak, and Toshiaki Kondo,”A Simple
Shape-Based Approach to Hand Gesture Recognition”, in Proceedings of IEEE
International Conference on Electrical Engineering/Electronics Computer
Telecommunications and Information Technology (ECTI-CON), Pathumthani,
Thailand , pages 851-855, May 2010
[3] A. Jinda-Apiraksa, W. Pongstiensak, and T. Kondo, “Shape-Based Finger Pattern
Recognition using Compactness and Radial Distance,” The 3rd International
Conference on Embedded Systems and Intelligent
Technology(ICESIT 2010), Chiang Mai, Thailand, February 2010.
[4] Rajeshree Rokade , Dharmpal Doye, Manesh Kokare, “Hand Gesture
Recognition by Thinning Method”, in Proceedings of IEEE International Conference
on Digital Image Processing (ICDIP), Nanded India, pages
284 – 287, March 2009.