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This weekly report summarizes work from a multidisciplinary workshop. It describes extracting features from 40x40 pixel images using histograms and setting regions. Character recognition was performed using an artificial neural network to recognize 44 characters with 40% accuracy. The report was submitted by Mrs. Marin Rattanapapra, student ID 53211823, to the Department of Control System and Instrumentation Engineering at King Mongkut's University of Technology Thonburi.

Technology Business

[INC 281 Multidisciplinary workshop weekly report]
April 4, 2012

Mrs. Marin Rattanapapra (You)
Name-Surname
.

Student ID. 53211823

4
“ ”

- (Set Region)
Histogram

40x40
(Feature Extraction)
-
(Character recognition)
Artificial Neural Network
44

Department of Control System and Instrumentation Engineering
KING MONGKUT’s UNIVERSITY OF TECHNOLOGY THONBURI

[INC 281 Multidisciplinary workshop weekly report]
April 4, 2012

Department of Control System and Instrumentation Engineering
KING MONGKUT’s UNIVERSITY OF TECHNOLOGY THONBURI

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