Word extraction

Siti Munirah, Abdul Kudus (2009) Word extraction. Faculty of Electrical & Electronics Engineering, Universiti Malaysia Pahang.

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Abstract

In content-based image processing system, describing and extracting word is a key question. This project is an approach to extracting word characters from images using image processing technique of MATLAB software, which in this system developed contain two phases. Those phases are preprocessing phase, where system used binarization and smoothing technique, while in second phase which is feature extraction phase, system used morphological technique. The word extraction eliminates noise and the distortions on the same document to remain the important characters. The result generated by this system is 87.5% satisfactory with the ability to read the valueable words and documents. Thus, the system and method is effective and feasible.

Item Type: Undergraduates Project Papers
Additional Information: Project paper (Bachelor of Electrical Engineering (Electronics)) -- Universiti Malaysia Pahang - 2009, SV: MRS. ROHANA BINTI ABDUL KARIM.
Uncontrolled Keywords: Optical pattern recognition; Text processing (Computer science); Document imaging systems; Image analysis
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: Faculty of Electrical & Electronic Engineering
Depositing User: Ms. Nurezzatul Akmal Salleh
Date Deposited: 28 Sep 2016 01:08
Last Modified: 03 Jun 2021 07:31
URI: http://umpir.ump.edu.my/id/eprint/14530
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