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Wednesday, November 15 • 10:40 - 11:00
Cursive handwritten Malayalam character recognition and articulation using ANN with DWT

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This paper describes a new feature extraction method for optical character recognition (OCR) system for recognizing handwritten documents in Malayalam and its pronunciation. Malayalam is one of the 22 officially recognized language of India, Malayalam character recognition has gained immense popularity in the past few years. The intrinsic challenges present in this domain along with the large character set of Malayalam and its cursive structure further complicate the recognition process. This paper proposes a new efficient feature extraction method for training the feed-forward back propagation neural network by using discrete wavelet transform (DWT) and at the same time recognized character is pronounced with the help of text-to-speech system (TTS).

Wednesday November 15, 2017 10:40 - 11:00
Crush area 180 Portugal Cove Road, St. John's, NL, Canada

Attendees (1)