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Handwritten Character Recognition from Bank Cheque

Siddhartha Banerjee1 , Bibek Ranjan Ghosh2 , Arka Kundu3

Section:Research Paper, Product Type: Conference Paper
Volume-04 , Issue-01 , Page no. 99-104, Feb-2016

Online published on Feb 26, 2016

Copyright © Siddhartha Banerjee, Bibek Ranjan Ghosh, Arka Kundu . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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How to Cite this Paper

IEEE Style Citation: Siddhartha Banerjee, Bibek Ranjan Ghosh, Arka Kundu, “Handwritten Character Recognition from Bank Cheque,” International Journal of Computer Sciences and Engineering, Vol.04, Issue.01, pp.99-104, 2016.

MLA Style Citation: Siddhartha Banerjee, Bibek Ranjan Ghosh, Arka Kundu "Handwritten Character Recognition from Bank Cheque." International Journal of Computer Sciences and Engineering 04.01 (2016): 99-104.

APA Style Citation: Siddhartha Banerjee, Bibek Ranjan Ghosh, Arka Kundu, (2016). Handwritten Character Recognition from Bank Cheque. International Journal of Computer Sciences and Engineering, 04(01), 99-104.

BibTex Style Citation:
@article{Banerjee_2016,
author = {Siddhartha Banerjee, Bibek Ranjan Ghosh, Arka Kundu},
title = {Handwritten Character Recognition from Bank Cheque},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {2 2016},
volume = {04},
Issue = {01},
month = {2},
year = {2016},
issn = {2347-2693},
pages = {99-104},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=39},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=39
TI - Handwritten Character Recognition from Bank Cheque
T2 - International Journal of Computer Sciences and Engineering
AU - Siddhartha Banerjee, Bibek Ranjan Ghosh, Arka Kundu
PY - 2016
DA - 2016/02/26
PB - IJCSE, Indore, INDIA
SP - 99-104
IS - 01
VL - 04
SN - 2347-2693
ER -

           

Abstract

Handwritten Character Recognition (HCR) is the ability of a computer to receive and interpret handwritten input captured by as digital cameras or other devices.Recognition of handwritten characters by computer is a serious problem because there are a many variety of writing styles, character shapes written by different individuals. The main objective of our project is to recognize the handwritten characters present in a bank cheque. Paper cheques still play a big role in the non-cash transactions in the world even after the arrival of credit cards, debit cards and other electronic means of payment. Huge volumes of handwritten bank cheques are processed manually every day in developing countries. The present cheque processing procedure requires a bank employee to read and manually enter the information present on a cheque (or its image) and also verify the entries like signature and date. An attempt is made in this project to recognize the characters present payee name and in the cheque amount by using image processing techniques on handwritten cheque images. The system uses broad steps like thresholding, image segmentation, thinning and pattern matching for extraction of characters. The pattern matching is done using graph based method. Graph matching techniques areintroduced to compute the similarity of characters extracted from bank cheque with theinformation of characters store in the database.

Key-Words / Index Term

Segmentation, Thinning, Scaling, Pattern matching, COG, complete Bipartite Graph, Adjacency matrix

References

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