A review on handwritten character and numeral recognition for Roman, Arabic, Chinese and Indian scripts

Abstract -There are a lot of intensive researches on handwritten character recognition (HCR) for almost past four decades. The research has been done on some of popular scripts such as Roman, Arabic, Chinese and Indian. In this paper we present a review on HCR work on the four popular scripts. We have summarized most of the published paper from 2005 to recent and also analyzed the various methods in creating a robust HCR system. We also added some future direction of research on HCR

On-line recognition of handwritten Renqun shorthand for fast mobile Chinese text entry

There is a wish to be able to enter Chinese text into mobile computing devices in real-time at the speed of speech. Handwritten shorthand schemes offer the potential to achieve this data recording rate. A new overall solution to the segmentation and classification of phonetic features in Renqun shorthand, which records Chinese characters phonetically, is proposed in this paper. A new writing rule is introduced to improve the machine readability of Renqun shorthand. Evaluation results show that the introduction of the new rule has a positive effect on the recognition performance. The recognition accuracies for vocalized outlines and shortforms following the new rule achieve 83% and 84.07%, respectively