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Journal of Computer Engineering & Information TechnologyISSN : 2324-9307

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Research Article, J Comput Eng Inf Technol Vol: 2 Issue: 2

New Rotation Invariance Features Based on Circle Partitioning

Mokhtar M Hasan*
Computer Science Department, University of Baghdad, Iraq
Corresponding author : Dr. Mokhtar M Hasan
Computer Science Department, College of Science for Women, Baghdad University, Iraq
Tel: +964-7716278174
E-mail: [email protected]
Received: March 25, 2013 Accepted: July 07, 2013 Published: July 24, 2013
Citation: Hasan MM (2013) New Rotation Invariance Features Based on Circle Partitioning. J Comput Eng Inf Technol 2:2. doi:10.4172/2324-9307.1000108

 

Abstract

New Rotation Invariance Features Based on Circle Partitioning

Gesture system can be considered as the non-tongue language that enables the human to emphasize or clarify the importance of current speech when communicate with other human(s).This idea can be utilized to be the vision based language between the human and the human-made intelligent machines.In this paper, the researcher introduced a gesture system model for recognizing the hand posture, the main contribution of this paper is the presenting of a new feature extraction method based on circle division of hand posture

Keywords: Gesture system; Feature extraction; Euclidian distance; Gesture circle partitioning; Recognition algorithm

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