Handwritten Online Character Recognition for Single Stroke Kannada Characters

被引：0

作者：

Chaithra, D. ^{[1
]}

Indira, K. ^{[1
]}

机构：

[1] RIT Bangalore, Dept ECE, Bangalore, Karnataka, India

来源：

2017 2ND IEEE INTERNATIONAL CONFERENCE ON RECENT TRENDS IN ELECTRONICS, INFORMATION & COMMUNICATION TECHNOLOGY (RTEICT) | 2017年

关键词：

Character recognition; Database; KNN; OHKC;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The objective of the work is to develop a database for Online Handwritten Kannada Characters and recognize single stroke Online Handwritten Kannada Characters (OHKC). The iball 5540U Pen Tablet is used to collect the handwritten character samples and to build the database. These samples are collected from people who are native to Kannada language. These samples are pre-processed and features are extracted. The pre-processing techniques include smoothing, resampling and normalization. The features such as normalized coordinates, normalized trajectory, normalized deviation is extracted. The recognition is carried out by K Nearest Neighbor (KNN) classifier and obtained average recognition rate of 66.08 and 73.47% for K=1 and K=3 respectively. Online handwriting recognition has wide applications such as form filling, word processing and signature verification.

引用

页码：548 / 552

页数：5

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