HMM-based Online Handwriting Recognition System for Telugu Symbols

V, Jagadeesh Babu ; L, Prasanth ; R, Raghunath Sharma ; G.V., Prabhakara Rao ; A, Bharath

HP Development Company

关键词: hidden Markov models;    online handwriting recognition;    Telugu symbol recognition;   

RP-ID  :  HPL-2007-107

学科分类：计算机科学（综合）

美国|英语

来源: HP Labs

【 摘 要 】

In this paper we present an online handwritten symbol recognition system for Telugu, a widely spoken language in India. The system is based on Hidden Markov Models (HMM) and uses a combination of time- domain and frequency-domain features. The system gives top-1 accuracy of 91.6% and top-5 accuracy of 98.7% on a dataset containing 29,158 train samples and 9,235 test samples. We also introduce a cost-effective and natural data collection procedure based on ACECAD® Digimemo® and describe its usage in building a Telugu handwriting dataset. Publication Info: ICDAR'2007, Curitiba, Brazil, 23-26 Sept., 2007 5 Pages