A Moment-Based Representation for Online Telugu Handwritten Character Recognition

被引：1

作者：

Movva, Krishna Chaithanya ^{[1
]}

Pulabaigari, Viswanath ^{[1
]}

机构：

[1] Indian Inst Informat Technol, Chittoor 517646, Andhra Pradesh, India

来源：

DATA ANALYTICS AND LEARNING | 2019年 / 43卷

关键词：

Statistical moments; Handwritten character recognition; Telugu; Stroke representation; K-nearest neighbors; Artificial neural networks; HP-Labs-India's Telugu character dataset;

D O I：

10.1007/978-981-13-2514-4_3

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Characters from various languages like Telugu consist of many strokes along with spatial relations among them. The representation for these strokes while being written on a mobile screen or any other personal computers needs to possess invariance to scaling, translation and if necessary, rotational aspects. Anold technique for representing shapes has been explored and modified slightly to produce better results. The current work proposes that geometric moment-based features could be adapted to represent a stroke which possesses the needed invariance properties and the usage of neural networks to recognize the corresponding characters from the stroke combinations and the positional information of the strokes.

引用

页码：27 / 38

页数：12

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