NDLI: Character recognition using wavelet compression

Content Provider	IEEE Xplore Digital Library
Author	Ali, H. Ali, Y. Hossain, E. Sultana, S.
Copyright Year	2010
Description	Author affiliation: Department of Computer Engineering, University Malaysia Sabah, Kota Kinabalu, Malaysia (Ali, H.) \|\| Department of Electrical and Electronics Engineering, Khulna University of Engineering & Technology, Bangladesh (Hossain, E.; Sultana, S.) \|\| Department of Mechanical Engineering, Rajshahi University of Engineering & Technology, Bangladesh (Ali, Y.)
Abstract	The objective of this project is to build a character recognition system, which is able to recognize printed and handwritten character from A to Z. the typical optical character recognition systems, regardless the character's nature, are based mainly on three stages, preprocessing, features extraction, and discrimination. Each stage has its own problems and effects on the system efficiency which is the time consuming and the recognition errors. In order to avoid these difficulties this project presents new construction of character recognition tool using the technique similar to that is used in image compression such as wavelet compression or JPEG compression. Wavelet compression is chosen as the technique implemented for this project. Wavelet compression technique extracted the important coefficient from the images. The Euclidean distance between the coefficient of the test images and training images is computed. Character is considered recognized if the Euclidean distance calculated is smaller than the Global threshold value of 258. This character recognition system also has 18.81% of false rejection rate and 21.88% for false acceptance rate.
Starting Page	452
Ending Page	457
File Size	349339
Page Count	6
File Format	PDF
ISBN	9781424484966
e-ISBN	9781424484973
DOI	10.1109/ICCITECHN.2010.5723900
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-12-23
Publisher Place	Bangladesh
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computers Wavelet Handwriting recognition Image coding Compression Databases Character Transform coding Euclidean distance Extraction JPEG Character recognition
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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