ACTIVE HANDWRITTEN WORD RECOGNITION

Jaehwa PARK and Venu GOVINDARAJU

Center of Excellence for Document Analysis and Recognition
Department of Computer Science and Engineering
State University of New York at Buffalo
Amherst, NY 14260, USA
E­mail: jaehwap,govind@cedar.buffalo.edu

An active word recognition paradigm using recursive recognition processing is proposed. To achieve successful recognition result with minimum required processing effort, recursive system architecture which has active combination of a recognition engine and a decision making module is introduced. In the proposed model, a closed loop connection between recognizer and decision maker operates recursively with successive upgrades of recognition accuracy. The recursion can eventually reach a satisfactory terminal condition or a rejection state of exhaustive use of all the resources. The proposed model is implemented in a segmentation based lexicon driven word recognition application and experiments show enhanced recognition results.

In: L.R.B. Schomaker and L.G. Vuurpijl (Eds.)
Proceedings of the Seventh International Workshop on Frontiers
in Handwriting Recognition, September 11-13 2000, Amsterdam,
Nijmegen: International Unipen Foundation,
ISBN 90-76942-01-3
pp. 403-412.