Title: Precise and accurate decimal number recognition using Global Motion Estimation

Authors: Hussein R. Al-Zoubi; Mahmood A. Al-Khassaweneh; Amin T. Alqudah

Addresses: Hijjawi Faculty for Engineering Technology, Computer Engineering Department, Yarmouk University, Irbid 21163, Jordan. ' Hijjawi Faculty for Engineering Technology, Computer Engineering Department, Yarmouk University, Irbid 21163, Jordan. ' Hijjawi Faculty for Engineering Technology, Computer Engineering Department, Yarmouk University, Irbid 21163, Jordan

Abstract: Precise and accurate automatic recognition of decimal numbers is essential for many applications. Motion Estimation (ME) is a basic component in any video compression technique used to account for the temporal redundancy in image sequences. Global Motions are often modelled by parametric transformations of two dimensional images. The process of estimating the motion parameters is called Global Motion Estimation (GME). In this paper, we propose a new way of using GME for the purpose of off-line machine-print decimal digit. We show that the proposed approach is able to achieve very high recognition rates.

Keywords: GME; global motion estimation; recognition rate; motion vector; Levenberg-Marquardt algorithm; 3-SS; three-step search; arti?cial intelligence; decimal number recognition; video compression.

DOI: 10.1504/IJAISC.2011.042712

International Journal of Artificial Intelligence and Soft Computing, 2011 Vol.2 No.4, pp.287 - 301

Received: 08 Feb 2011
Accepted: 12 Feb 2011
Published online: 31 Mar 2015 *

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