Universiti Teknologi Malaysia Institutional Repository

Moment-based extraction on handwritten digits

Taliba, Jumail and Shamsuddin, Siti Mariyam and Tan, Shuen Chuan (2005) Moment-based extraction on handwritten digits. Project Report. Faculty of Computer Science and Information System, Skudai Johor. (Unpublished)

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Handwritten digits recognition software have become a highly demand applications to the market. Manufacturing industries as well as post offices are among the users of these applications. In the past few years, several approaches have been used in development of handwritten recognition applications. However, the accuracy of recognition varies between one and another. In this study, the approach of moment-based techniques are employed on handwritten characters.. These include geometric moments, Zernike moments and contour sequence moments. Classification and recognition results are analyzed to determine the necessity of operation thinning when dealing with the moment functions. A Simple Block Segmentation with Moore Tracing Algorithm (SBS & MNTA) is used in image segmentation while Safe-point Thinning Algorithm (SPTA) is applied in image thinning process. Results obtained have shown that operation thinning should be excluded as its deteriorates the recognition accuracy. Contour sequence moments exhibited the highest recognition rate compared to Geometric moments and Zernike moments.

Item Type:Monograph (Project Report)
Uncontrolled Keywords:Handwritten digits recognition
Subjects:Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4050 Electronic information resources
Divisions:Computer Science and Information System
ID Code:4345
Deposited By: Azrin Ariffin
Deposited On:25 Jun 2008 03:28
Last Modified:07 Aug 2017 03:11

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