Numerical recipes in C (2nd ed.): the art of scientific computing
Numerical recipes in C (2nd ed.): the art of scientific computing
On-Line and Off-Line Handwriting Recognition: A Comprehensive Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
Scientific Computing
Video Coding for Mobile Communications: Efficiency, Complexity, and Resillience
Video Coding for Mobile Communications: Efficiency, Complexity, and Resillience
Recognition of English and Arabic Numerals Using a Dynamic Number of Hidden Neurons
ICDAR '99 Proceedings of the Fifth International Conference on Document Analysis and Recognition
Recognition of Persian handwritten digits using image profiles of multiple orientations
Pattern Recognition Letters
Genetic programming techniques for hand written digit recognition
Signal Processing
Digital Image Processing (3rd Edition)
Digital Image Processing (3rd Edition)
Offline Arabic Handwriting Recognition: A Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
Complexity accuracy tradeoffs of Lie operators in motion estimation
Pattern Recognition Letters
A trainable feature extractor for handwritten digit recognition
Pattern Recognition
On-line handwritten digit recognition based on trajectory and velocity modeling
Pattern Recognition Letters
Offline Machine-Print Hindi Digit Recognition Using Translational Motion Estimation
CIMCA '08 Proceedings of the 2008 International Conference on Computational Intelligence for Modelling Control & Automation
Efficient, robust, and fast global motion estimation for video coding
IEEE Transactions on Image Processing
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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.