Login | Register

The role of the Elementary Perceiver and Memorizer (EPAM) in optical character recognition (OCR)

Title:

The role of the Elementary Perceiver and Memorizer (EPAM) in optical character recognition (OCR)

Radvar-Zanganeh, Siasb (1994) The role of the Elementary Perceiver and Memorizer (EPAM) in optical character recognition (OCR). Masters thesis, Concordia University.

[thumbnail of MM10888.pdf]
Preview
Text (application/pdf)
MM10888.pdf
3MB

Abstract

Elementary Perceiver And Memorizer (EPAM) is one of the few existing general models of human perception. It has been successful in simulating and describing many human cognition phenomena. In this thesis, the role of EPAM is studied in terms of an OCR machine. The model is described in some detail. Its strengths and shortcomings have been pointed out. Some suggestions are provided for its shortcomings. Two of the suggestions are implemented and tested in this thesis. In EPAM, objects of any complexity level could be described. In this experiment the primitive objects of the EPAM model are defined as characters, and words of the English language are defined as the upper bound on the complexity of the objects. In this way the model is tested under: (1) One level of object complexity. (2) A large base of objects with a variable length feature set. As such, to test the modification's effect on the behaviour of the model, EPAM is used as a postprocess to a character segmentation and recognition subsystem. The experiment is tested with 30 fonts of different typefaces with sizes ranging between 7 points to 12 points. For the segmentation subsystem a line, word, and character segmenter is provided. A Feature extraction methodology and a recognition model are also provided for the character recognition subsystem. EPAM is trained with 23692 words and tested with the results of the character testing font set.

Divisions:Concordia University > Gina Cody School of Engineering and Computer Science > Computer Science and Software Engineering
Item Type:Thesis (Masters)
Authors:Radvar-Zanganeh, Siasb
Pagination:xii, 136 leaves : ill. ; 29 cm.
Institution:Concordia University
Degree Name:M. Comp. Sc.
Program:Computer Science
Date:1994
Thesis Supervisor(s):Suen, Ching Y
Identification Number:TA 1640 R25 1994
ID Code:123
Deposited By: Concordia University Library
Deposited On:27 Aug 2009 17:09
Last Modified:04 Aug 2021 20:35
Related URLs:
All items in Spectrum are protected by copyright, with all rights reserved. The use of items is governed by Spectrum's terms of access.

Repository Staff Only: item control page

Downloads per month over past year

Research related to the current document (at the CORE website)
- Research related to the current document (at the CORE website)
Back to top Back to top