Pakistan Sign Language Detection using PCA and KNN
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2018, Vol 9, Issue 4
Abstract
Every society has a large majority group of disable people. The technology is developing day by day but no significant developments are undertaken for the improvement of these people. Sign language is an efficient mean of information exchange with special people, such as Deaf and Dumb people, they communicate with each other through sign language, but it become difficult when they communicate to outer world so sign language is used for this purpose. Different research has been done for this in America, Indonesia and India, but not much work done in Pakistan. In this research paper, author introduce a system for recognizing Pakistan Sign Language (PSL) including the alphabet to facilitate communication between special people and normal. This system capture input through webcam without making use of any additional hardware, then using segmentation approach we separate hand from the background and extract required feature from image using Principal Component Analysis (PCA) and then finally classifies the gesture feature by utilizing K Nearest Neighbors (KNN). This research will fill the communication gap between the deaf and normal people of the Pakistan country.
Authors and Affiliations
Muhammad Sheraz Arshad Malik, Naila Kousar, Tahir Abdullah, Muhammad Ahmed, Faiqa Rasheed
Keywords
Related Articles
- EP ID EP285884
- DOI 10.14569/IJACSA.2018.090414
- Views 65
- Downloads 0
Safety and Performance Evaluation Method for Wearable Artificial Kidney Systems
This paper focuses on international standards and guidelines related to evaluating the safety and performance of wearable dialysis systems and devices. The applicable standard and evaluation indices for safety and perfor...
Bio-inspired Think-and-Share Optimization for Big Data Provenance in Wireless Sensor Networks
Big data systems are being increasingly adopted by the enterprises exploiting big data applications to manage data-driven process, practices, and systems in an enterprise wide context. Specifically, big data systems and...
Probabilistic Distributed Algorithm for Uniform Election in Triangular Grid Graphs
Probabilistic algorithms are designed to handle problems that do not admit deterministic effective solutions. In the case of the election problem, many algorithms are available and applicable under appropriate assumption...
Web Application Development by Applying the MVC and Table Data Gateway in the Annual Program Budget Management System
This paper is the result of the development of the Web application to register the Annual Work Program, in which goals and actions are assigned the financial resources to manage the annual work program identified. In thi...
Facial Expression Recognition Using 3D Convolutional Neural Network
This paper is concerned with video-based facial expression recognition frequently used in conjunction with HRI (Human-Robot Interaction) that can naturally interact between human and robot. For this purpose, we design a...