Share Email Print
cover

Proceedings Paper

A new algorithmic approach for fingers detection and identification
Author(s): Arslan Mubashar Khan; Waqas Umar; Taimoor Choudhary; Fawad Hussain; Muhammad Haroon Yousaf
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Gesture recognition is concerned with the goal of interpreting human gestures through mathematical algorithms. Gestures can originate from any bodily motion or state but commonly originate from the face or hand. Hand gesture detection in a real time environment, where the time and memory are important issues, is a critical operation. Hand gesture recognition largely depends on the accurate detection of the fingers. This paper presents a new algorithmic approach to detect and identify fingers of human hand. The proposed algorithm does not depend upon the prior knowledge of the scene. It detects the active fingers and Metacarpophalangeal (MCP) of the inactive fingers from an already detected hand. Dynamic thresholding technique and connected component labeling scheme are employed for background elimination and hand detection respectively. Algorithm proposed a new approach for finger identification in real time environment keeping the memory and time constraint as low as possible.

Paper Details

Date Published: 20 March 2013
PDF: 6 pages
Proc. SPIE 8768, International Conference on Graphic and Image Processing (ICGIP 2012), 876842 (20 March 2013); doi: 10.1117/12.2011115
Show Author Affiliations
Arslan Mubashar Khan, Univ. of Engineering and Technology (Pakistan)
Waqas Umar, Univ. of Engineering and Technology (Pakistan)
Taimoor Choudhary, Univ. of Engineering and Technology (Pakistan)
Fawad Hussain, Univ. of Engineering and Technology (Pakistan)
Muhammad Haroon Yousaf, Univ. of Engineering and Technology (Pakistan)


Published in SPIE Proceedings Vol. 8768:
International Conference on Graphic and Image Processing (ICGIP 2012)
Zeng Zhu, Editor(s)

© SPIE. Terms of Use
Back to Top