INFORMATION CHANGE THE WORLD

International Journal of Information Technology and Computer Science(IJITCS)

ISSN: 2074-9007 (Print), ISSN: 2074-9015 (Online)

Published By: MECS Press

IJITCS Vol.9, No.9, Sep. 2017

Offline Handwriting Recognition Using Feedforward Neural Network

Full Text (PDF, 782KB), PP.11-17


Views:105   Downloads:4

Author(s)

Rosalina, R.B. Wahyu

Index Terms

Handwriting recognition;feedforward neural netwok;form

Abstract

Many business especially Banks’s services are expanding to include services directed not only to corporate customers but also to individual customer. Furthermore, by the increment of those services, many individual applications to be processed also increases as well. Facing an immense moment, in which requiring more improvements in how it should manage or maintain its applications, some systems or procedures must be improved to match currently increasing customers’ applications. Prior to the improvements, many application forms are filled, input to machine and even to be processed and approved manually. Until recently, application fulfillment processes consists of manual information filling by applicants in an application request paper and later to be re-input by electronic data processing staff which is actually redundant. Aware of such situation, this paper proposes and idea to reduce input processes in an integrated business system by utilizing character recognition system.

Cite This Paper

Rosalina, R.B. Wahyu, "Offline Handwriting Recognition Using Feedforward Neural Network", International Journal of Information Technology and Computer Science(IJITCS), Vol.9, No.9, pp.11-17, 2017. DOI: 10.5815/ijitcs.2017.09.02

Reference

[1]Aiquan Yuan, Gang Bai, Lijing Jiao, Yajie Liu, “Offline Handwritten English Character Recognition based on Convolutional Neural Network” in the 10th IAPR International Workshop on Document Analysis Systems, pp. 125 – 129. 2012. 

[2]B.Indira,M.Shalini,M.V. Ramana Murthy,Mahaboob Sharief Shaik,"Classification and Recognition of Printed Hindi Characters Using Artificial Neural Networks", IJIGSP, vol.4, no.6, pp.15-21, 2012

[3]Anita Pal, Dayashankar Singh, “Handwritten English Character Recognition using Neural Network” International Journal of Computer Science and Communication, Vol. 1, No. 2, pp. 141-144, 2010. 

[4]Azizah Suliman, Mohd. Nasir  Sulaiman, Mohamed  Othman, Rahmita Wirza, “Chain coding and pre processing stages of handwritten character image file,” Electronic Journal of Computer Science and Information Technology (eJCSIT), vol. 2, no. 1, pp. 6-13, 2010.

[5]Ashok Kumar, Pradeep Kumar Bhatia, “Offline handwritten character recognition using improved backpropagation algorithm” International Journal of Advances in Engineering Sciences, Vol. 3 (3), 2013.  

[6]Yusuf Perwej, Ashish Chaturvedi, “Neural Networks for Handwritten English Alphabet Recognition”, International Journal of Computer Applications (0975 –8887), Volume 20 – No.7, April 2011.

[7]Liangbin Zheng, Ruqi Chen, Xiaojin Cheng, “Research on Offline Handwritten Chinese Character Recognition Based on BP Neural Networks”, 2011 International Conference on Computer Science and Information Technology(ICCSIT2011), IPCSIT vol. 51 (2012), 2012, IACSIT Press, Singapore

[8]Mariusz Bernacki, Przemysław Włodarczyk, “Principles of training multi-layer neural network using backpropagation”, URL: http://galaxy.agh.edu.pl/~vlsi/AI/backp_t_en/backprop.html

[9]Performance  Testing  URL: http://agiletesting.blogspot.com/2005/02/performance‐vs‐load‐vs‐stress‐testing.html

[10]Sandeep B. Patil, G.R. Sinha,"Real Time Handwritten Marathi Numerals Recognition Using Neural Network", IJITCS, vol.4, no.12, pp.76-81, 2012.

[11]Shailendra Kumar Dewangan,"Real Time Recognition of Handwritten Devnagari Signatures without Segmentation Using Artificial Neural Network", IJIGSP, vol.5, no.4, pp.30-37, 2013.DOI: 10.5815/ijigsp.2013.04.04

[12]Soumen Bag and Gaurav Harit, “Topographic Feature Extraction For Bengali And Hindi Character Images”, International Journal of Signal & Image Processing, Vol.  2, No. 2, pp. 181-196, June 2011

[13]Sumedha B. Hallale, Geeta D. Salunke, “Offline handwritten digit recognition using neural network” International Journal of Advanced Research in Electrical Electronics and Instrumentation Engineering, Vol. 2, Issue 9, pp. 4373 – 4377, 2013. 

[14]Sutha.J, Ramraj.N, “Neural Network Based Offline Tamil Handwritten  Character  Recognition  System”, IEEE International Conference  on Computational  Intelligence  and Multimedia Application, 2007,2, 13-15, Dec.2007, Page(s):446-450, 2007.

[15]Tirtharaj Dash and Tanistha Nayak, “English Character Recognition using Artificial Neural Network”, Proceedings of National Conference on AIRES-2012, Andhra University, pp. 7-9, 29-30 June, 2012

[16]Vijay Laxmi Sahu, Babita Kubde “Offline handwritten character recognition techniques using neural network: a review” International Journal of Science and Research (IJSR), Vol. 2 Issue 1, pp. 87 – 94, 2013.