Active Handwritten Word Recognition

An active word recognition paradigm using recursive recognition processing is proposed. To achieve successful recognition result with minimum required processing e ort, 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.