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EISSN: 2313-3724, Print ISSN:2313-626X

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Volume 4, Issue 11 (November 2017), Pages: 35-42


Review Paper

Title: User acceptance towards optical character recognition for international call Apps: Comparing the accuracy of the prediction by neural networks and SPSS equation

Author(s): Faris Ahmed Alshammari, Ahmad Suhaimi Baharudin, Kamal Karkonasasi *


School of Computer Science, USM, 11800, Sungai Dua, Pulau Penang, Malaysia

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In the field of artificial intelligence and pattern recognition, the new innovative ideology called optical character recognition (OCR) has been prominent and most successful. In the past 50 years, the idea of machine reading has developed from the stage of a dream to the stage of reality and certainty. There are many systems variety of applications in existence that are commercially based for the operation and application of OCR. The incessant problem of a series of stages before making a successful international call is a beacon for urgent attention hence the desire for the business proposal. This idea makes use of OCR as a means of making faster international mobile apps card calls without going through the usual series of stages before the call can get through to the foreign country. The OCR was used to scan the serial digits of the prepaid card and immediately transfer it for the immediate call. The idea was found to be more appropriate, user friendly and faster than the early traditional system of making international calls. 

© 2017 The Authors. Published by IASE.

This is an open access article under the CC BY-NC-ND license (

Keywords: OCR, Application of OCR, Accuracy, Neural networks

Article History: Received 13 April 2017, Received in revised form 7 September 2017, Accepted 18 September 2017

Digital Object Identifier:


Alshammari FA, Baharudin AS, and Karkonasasi K (2017). User acceptance towards optical character recognition for international call Apps: Comparing the accuracy of the prediction by neural networks and SPSS equation. International Journal of Advanced and Applied Sciences, 4(11): 35-42

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