This paper describes a system for handwritten Chinese text recognition integrating language model. On a text line image, the system generates character segmentation and word segme...
The paper describes a lexicon driven approach for word recognition on handwritten documents using Conditional Random Fields(CRFs). CRFs are discriminative models and do not make a...
Shravya Shetty, Harish Srinivasan, Sargur N. Sriha...
Given the large number and complexity of Chinese characters, pattern matching based on structural decomposition and analysis is believed to be necessary and essential to off-line ...
In this paper, we propose a Bayesian network framework for explicitly modeling components and their relationships of Korean Hangul characters. A Hangul character is modeled with h...
The goal to produce effective Optical Character Recognition (OCR) methods has lead to the development of a number of algorithms. The purpose of these is to take the hand-written o...