Skip to main content
padlock icon - secure page this page is secure

Image Processing-Based Handwriting Recognition for Automated Form Processing

Buy Article:

$106.51 + tax (Refund Policy)

Processing forms need a substantial amount of work and time, especially when the human resource is lacking to store it manually into the system. A method is proposed in this study to develop the handwriting recognition for automated form processing. Handwriting of uppercase and lowercase letters, together with numbers from 0 to 9 are collected using Form A, a form designed for it. The handwriting on the form will be pre-processed using image processing techniques and binary sub-images of the handwriting should be obtained. Letters and numbers are kept as templates in MAT file. Form B is a form designed based on the Universiti Malaysia Sabah (UMS) Course Registration Form to be filled in and compared with the template. Form B will undergo the same processes as Form A to get the same format as the final output of Form B. For the evaluation of recognition rate, ‘normxcorr2’ function of Matlab is used. The applicant’s information is extracted to undergo a series of more steps. These individual numbers and letters will be compared with the template to obtain the result in text form. Graphical User Interface (GUI) in Matlab is used to present the system. The result of the post processing is the handwriting which is displayed in text form in a Notepad file and the applicant’s information is stored in a Microsoft Excel file.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Article Media
No Metrics

Keywords: Automated Form Processing; Handwriting Recognition; Image Processing Techniques

Document Type: Research Article

Affiliations: Faculty of Engineering, Universiti Malaysia Sabah, Kota Kinabalu, Sabah, Malaysia

Publication date: November 1, 2017

More about this publication?
  • ADVANCED SCIENCE LETTERS is an international peer-reviewed journal with a very wide-ranging coverage, consolidates research activities in all areas of (1) Physical Sciences, (2) Biological Sciences, (3) Mathematical Sciences, (4) Engineering, (5) Computer and Information Sciences, and (6) Geosciences to publish original short communications, full research papers and timely brief (mini) reviews with authors photo and biography encompassing the basic and applied research and current developments in educational aspects of these scientific areas.
  • Editorial Board
  • Information for Authors
  • Subscribe to this Title
  • Ingenta Connect is not responsible for the content or availability of external websites
  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
X
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more