Study of Segmentation Techniques for Cursive English Handwriting Recognition

被引：0
|
作者：
Dhande, Pritam S. [1 ]
Kharat, Reena [1 ]
机构：
[1] Pimpri Chinchwad Coll Engn, Dept Comp Engn, Pune, Maharashtra, India
来源：
INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING AND APPLICATIONS, ICICA 2016 | 2018年 / 632卷
关键词：
Feature extraction; Handwritten cursive English script Optical character recognition; Segmentation;
D O I：
10.1007/978-981-10-5520-1_51
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper aims to present a study of different segmentation techniques for optical character recognition of handwritten cursive English script. Optical character recognition is a very challenging research field. There are scanners with inbuilt OCR for printed documents but not for handwritten documents. Character recognition of handwritten cursive English script is a very challenging task. In cursive English handwriting, the characters in a word are connected to each other. So the segmentation and feature extraction of cursive English script are much difficult.
引用
收藏
页码：567 / 576
页数：10
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