DocumentCode :
518409
Title :
α-Soft: An English language OCR
Author :
Tariq, Junaid ; Nauman, Umar ; Naru, Muhammad Umair
Author_Institution :
Dept. of Comput. Sci., COMSATS Inst. of Inf. Technol., Islamabad, Pakistan
Volume :
1
fYear :
2010
fDate :
16-18 April 2010
Abstract :
Because of growing technology and fast living, business card are very much in demand. Most of the cards have fixed font size and style. That´s why the OCR required for such documents does not need to be so expensive (computational cost) and complex (Artificial Neural Network). This paper presents a simple, efficient, and less costly approach to construct OCR for cards reading or any document that has fix font size and style. As English is an international language and almost every card have English characters on them. To achieve efficiency and less computational cost, OCR in this paper uses database instead of ANN (Artificial Neural Network) to recognize English characters which makes this OCR very simple to manage. As this paper is about English character recognition, so author is naming this OCR as α-soft, pronounced as “alpha soft”. We have developed a prototype for this system. Different experiments are conducted to show that 100% accuracy is possible in OCR.
Keywords :
natural language processing; optical character recognition; visual databases; α-Soft; English character recognition; English language OCR; artificial neural network; database; optical character recognition; Artificial neural networks; Character recognition; Computational efficiency; Computer network management; Computer science; Databases; Information technology; Natural languages; Optical character recognition software; Prototypes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Engineering and Technology (ICCET), 2010 2nd International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-6347-3
Type :
conf
DOI :
10.1109/ICCET.2010.5486152
Filename :
5486152
Link To Document :
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