Share Email Print

Proceedings Paper

Low-cost and high-speed optical mark reader based on an intelligent line camera
Author(s): Stephan Hussmann; Leona Chan; Celine Fung; Martin Albrecht
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

Optical Mark Recognition (OMR) is thoroughly reliable and highly efficient provided that high standards are maintained at both the planning and implementation stages. It is necessary to ensure that OMR forms are designed with due attention to data integrity checks, the best use is made of features built into the OMR, used data integrity is checked before the data is processed and data is validated before it is processed. This paper describes the design and implementation of an OMR prototype system for marking multiple-choice tests automatically. Parameter testing is carried out before the platform and the multiple-choice answer sheet has been designed. Position recognition and position verification methods have been developed and implemented in an intelligent line scan camera. The position recognition process is implemented into a Field Programmable Gate Array (FPGA), whereas the verification process is implemented into a micro-controller. The verified results are then sent to the Graphical User Interface (GUI) for answers checking and statistical analysis. At the end of the paper the proposed OMR system will be compared with commercially available system on the market.

Paper Details

Date Published: 6 August 2003
PDF: 9 pages
Proc. SPIE 5106, Optical Pattern Recognition XIV, (6 August 2003); doi: 10.1117/12.484827
Show Author Affiliations
Stephan Hussmann, Univ. of Auckland (New Zealand)
Leona Chan, Univ. of Auckland (New Zealand)
Celine Fung, Univ. of Auckland (New Zealand)
Martin Albrecht, Univ. of Siegen (Germany)

Published in SPIE Proceedings Vol. 5106:
Optical Pattern Recognition XIV
David P. Casasent; Tien-Hsin Chao, Editor(s)

© SPIE. Terms of Use
Back to Top