Recognition of Handwritten Telugu documents using HMM

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ISSN: 2349-6002 ESTD Year: 2014

UGC approved journal no 47859

Recognition of Handwritten Telugu documents using HMM
Author(s):
A Venkata Srinivasa Rao, V Kavya, Ch N S Manojna, K Hari Charan, P Nikhil Babu
Keywords:
Segmentation, Telugu scripts, Recognition, Drop-Fall model, Hidden Markov model.
Abstract
Indian script recognition is a difficult task. The creation of comprehensive OCR systems for Indian language scripts is still in its early stages. Recently, full OCR systems for Bangla and Devanagari scripts were created. Character touching and overlap are two important issues that Telugu script recognition research should overcome. Telugu character segmentation is a challenging task for character recognition. In this paper, we make an attempt at segmentation and recognition of handwritten Telugu script using the Drop-Fall and HMM models.
Article Details
Unique Paper ID: 158449 Publication Volume & Issue: Volume 9, Issue 9 Page(s): 510 - 514
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