A SURVEY ON CHARACTER RECOGNITION FROM HANDWRITTEN DOCUMENTS

被引:0
|
作者
Kaur, Gagandeep [1 ]
Singh, Varinder [1 ]
Chawla, Sunil Kumar [1 ]
Bhasin, Mahima [1 ]
机构
[1] Chandigarh Grp Coll, Coll Engn, Comp Sci & Engn Dept, Landran, India
来源
ADVANCES AND APPLICATIONS IN MATHEMATICAL SCIENCES | 2020年 / 19卷 / 05期
关键词
Handwritten database; HCR (Handwritten Character recognition); TIE (Text Information Extraction); MARY (Modular Architecture for Research on Speech Synthesis); TTS (Text-to-speech); Intelligent word recognition; OCR (Optical character recognition) etc;
D O I
暂无
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
In the past few years, OCR technique has occupied very fascinating stretch of research. In this paper we describe an inclusive analysis of Handwritten Character Recognition (HCR) in cursive writing script. HCR is utilized in numerous fields like Finance sectors, Health care, commerce and several such officialdoms wherever handwritten forms are used. The Handwritten Character recognition technique is rephrasing of handwritten manuscript into machine understandable form. In order to decrease the complication of recognizing handwritten manuscript in modern researches special types of techniques, classifiers and features has used.
引用
收藏
页码:321 / 331
页数:11
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