CFP last date
20 May 2024
Call for Paper
June Edition
IJCA solicits high quality original research papers for the upcoming June edition of the journal. The last date of research paper submission is 20 May 2024

Submit your paper
Know more
The week's pick
Responsive image
Enhancing Privacy Preservation: Multi-Attribute Protection with P-Sensitive K-Anonymity

Twinkle Patel Kiran Amin
Random Articles
Reseach Article

Recognition of Arabic Handwritten Amount in Cheque through Windowing Approach

by Mowaffak O. A. Al_barraq, S.c.mehrotra
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 115 - Number 10
Year of Publication: 2015
Authors: Mowaffak O. A. Al_barraq, S.c.mehrotra
10.5120/20191-2420

Mowaffak O. A. Al_barraq, S.c.mehrotra . Recognition of Arabic Handwritten Amount in Cheque through Windowing Approach. International Journal of Computer Applications. 115, 10 ( April 2015), 33-38. DOI=10.5120/20191-2420

@article{ 10.5120/20191-2420,
author = { Mowaffak O. A. Al_barraq, S.c.mehrotra },
title = { Recognition of Arabic Handwritten Amount in Cheque through Windowing Approach },
journal = { International Journal of Computer Applications },
issue_date = { April 2015 },
volume = { 115 },
number = { 10 },
month = { April },
year = { 2015 },
issn = { 0975-8887 },
pages = { 33-38 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume115/number10/20191-2420/ },
doi = { 10.5120/20191-2420 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:54:30.426795+05:30
%A Mowaffak O. A. Al_barraq
%A S.c.mehrotra
%T Recognition of Arabic Handwritten Amount in Cheque through Windowing Approach
%J International Journal of Computer Applications
%@ 0975-8887
%V 115
%N 10
%P 33-38
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Arabic language is a semantic language that has differences when compared to English language. We are dealing with the handwritten Arabic Amount from cheques of Arabic banks . In this paper we proposed a windowing technique for the segmentation of the numerical amount, followed by an efficient moment invariants for features extraction . A maximum and minimum points technique used to isolate the Arabic (Hindi Digits) numerals. The feature vectors are grouped for each digit and Artificial Neural Network (ANN), is applied for the classification and recognition. This approach resulted in providing 99. 5% of recognition rate.

References
  1. Sabri A. Mahmoud "Arabic (Indian) Handwritten Digits Recognition Using Gabor-based Features" ©2008 IEEE.
  2. A. Harifi and A. Aghagolzadeh, "A New Pattern for Handwritten Persian/Arabic Digit Recognition," Proceedings of World Academy of Science, Engineering and Technology, vol. 3, Jan 2005, pp. 130-133.
  3. Alotaibi, Y. A. , Spoken Arabic Digits Recognizer Using Recurrent Neural Networks, International Symposium on Signal Processing and Information Technology- ISSPIT, 195-199, Rome, Italy, 2004.
  4. . Al-Taani Ahmad"Recognition of On-line Handwritten Arabic Digits Using Structural Features and Transition Network ", Informatica 32 (2008) 275–281 275.
  5. Mowaffak Albaraq and S. C. Mehrotra, "Handwritten Arabic Text Recognition System using Window based Moment Invariant Method", International JARCS, v2 No. 1, Jan. –Feb, 2011, 599-608.
  6. L. S. Meslati and M. Sellami, "A Hybrid Approach For Arabic Literal Amounts Recognition ",The Arab. Jou. for Sci. and Eng. , Vol. 29, No. 2B
  7. Y. Al-Ohali , M. Cheriet andd C. Suena "Databases for recognition of handwritten Arabic cheques" Jou. of the Patt. Rec. Society , (2003).
  8. R. C Gonzalez and R. E. Woods, " Digital Image Processing ", Prentice Hall, 2002 .
  9. M. B. Menhadj, " Neural Networks ", Amirkabir Univ. Publs
  10. Ahmad T. Al-Taani, "An Efficient Feature Extraction Algorithm for the Recognition of Handwritten Arabic Digits " , International Journal of Computational Intelligence, 2006
  11. J. Sadri C. Y. Suen and T. D Bui "Application of Support Vector Machine for Recognition Of Handwritten Arabic/Persian Digits" K. N. , Toosi Univ. of Tech. , Iran Feb. 2003. vol 1.
  12. Sabri A. Mahmoud, "Arabic (Indian) Handwritten Digits Recognition Using Gabor-based Feature" 978-1-4244-3397-1/08/$25. 00 ©2008 IEEE.
  13. Mohsen Biglari, Faezeh Mirzaei, Jalil Ghavidel Neycharan, "Persian/Arabic Handwritten Digit Recognition Using Local Binary Pattern", International Journal of Digital Information (IJDIWC), 2014.
  14. Nibaran Das, Ayatullah Mollah, Sudip Saha, Syed S. Haque, "Handwritten Arabic Numeral Recognition using a Multi Layer Perceptron", National Conference on Recent Trends in Information Systems (2006) 200-203.
  15. Gita Sinha and Dr. Jitendra kumar "Arabic numeral Recognition Using SVM Classifier", International Journal of Emerging Research in Management &Technology ISSN: 2278-9359 (Volume-2, Issue-5).
  16. Sabri A. Mahmoud and Sameh M. Awaida, "Recognition Of Off-Line Handwritten Arabic (Indian) Numerals Using Multi-Scale Features And Support Vector Machines Vs. Hidden Markov Models", The Arabian Journal for Science and Engineering, Volume 34, Number 2B, October 2009.
Index Terms

Computer Science
Information Sciences

Keywords

Windowing approach Moment Invariants Features Extraction Handwritten Arabic Checks ANN and OCR.

Powered by PhDFocusTM