ONLINE DEVANAGARI HANDWRITING WORD RECONITION

Abstract

Classifier combination is a way to combine the outputs of multiple distinct recognition systems so as to improve the accuracy of the combined system. The training data is used to train multiple instances of neural network based recognition systems (BLSTM). Next the test data is transcribed using each of the trained models. A post processing technique (ROVER) is used to combine the multiple transcriptions obtained for each test sequence into a best transcription. This approach yields a higher transcription accuracy when compared to those obtained with the individual recognition systems used.