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
Article Preview & Download


Share This Article

Conference Alert

NCSST-2023

AICTE Sponsored National Conference on Smart Systems and Technologies

Last Date: 25th November 2023

SWEC- Management

LATEST INNOVATION’S AND FUTURE TRENDS IN MANAGEMENT

Last Date: 7th November 2023

Go To Issue



Call For Paper

Volume 10 Issue 1

Last Date for paper submitting for March Issue is 25 June 2023

About Us

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org

Social Media

Google Verified Reviews