Recognition of Handwritten Telugu documents using HMM
A Venkata Srinivasa Rao, V Kavya, Ch N S Manojna, K Hari Charan, P Nikhil Babu
Segmentation, Telugu scripts, Recognition, Drop-Fall model, Hidden Markov model.
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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