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Automatic Processing of Structured Handwritten Documents: An Application for Indian Railway Reservation System

by Sandip Rakshit, Soumya Sona Das, Kalyan S Sengupta, Subhadip Basu
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 6 - Number 11
Year of Publication: 2010
Authors: Sandip Rakshit, Soumya Sona Das, Kalyan S Sengupta, Subhadip Basu
10.5120/1115-1460

Sandip Rakshit, Soumya Sona Das, Kalyan S Sengupta, Subhadip Basu . Automatic Processing of Structured Handwritten Documents: An Application for Indian Railway Reservation System. International Journal of Computer Applications. 6, 11 ( September 2010), 26-30. DOI=10.5120/1115-1460

@article{ 10.5120/1115-1460,
author = { Sandip Rakshit, Soumya Sona Das, Kalyan S Sengupta, Subhadip Basu },
title = { Automatic Processing of Structured Handwritten Documents: An Application for Indian Railway Reservation System },
journal = { International Journal of Computer Applications },
issue_date = { September 2010 },
volume = { 6 },
number = { 11 },
month = { September },
year = { 2010 },
issn = { 0975-8887 },
pages = { 26-30 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume6/number11/1115-1460/ },
doi = { 10.5120/1115-1460 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:55:08.658541+05:30
%A Sandip Rakshit
%A Soumya Sona Das
%A Kalyan S Sengupta
%A Subhadip Basu
%T Automatic Processing of Structured Handwritten Documents: An Application for Indian Railway Reservation System
%J International Journal of Computer Applications
%@ 0975-8887
%V 6
%N 11
%P 26-30
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

An effective document processing system must be able to recognize structured and semi structured forms that is written by different persons’ handwriting. In this work we have developed a method and system that can process structured form document layout and recognize its contents. Our approach has been applied here in the context of Indian railway reservation/cancellation requisition system with encouraging results. In reality, handwritten data usually touch or cross the preprinted form frames and texts, creating complex problems for the recognition routines. In this paper, we address these issues and attempted to solve the problem for Indian Railway Reservation system using our custom built form processing software and Tesseract open source character recognition engine.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Optical Character Recognition Handwritten Document Analysis Form Processing Tesseract OCR

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