A Novel System for Image Text Recognition and Classification using Deep Learning

被引：2

作者：

Manzoor, Syed Ishfaq ^{[1
]}

Singla, Jimmy ^{[1
]}

机构：

[1] Lovely Profess Univ, Sch Comp Sci & Engn, Phagwara, Punjab, India

来源：

2021 INTERNATIONAL CONFERENCE ON COMPUTING SCIENCES (ICCS 2021) | 2021年

关键词：

Multi-linguistic Systems; Text detection; classification; Deep Learning; FEATURES;

D O I：

10.1109/ICCS54944.2021.00020

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

nowadays, the recognition of patterns by artificial intelligence algorithms based on artificial neural networks is one of the broadest and most developed areas of study in the computer industry. With this study, a solution is proposed to the problem of recognizing handwritten textual information for statistical purposes based on the recognition of natural text by means of artificial neural networks. The system has been programmed to be able to acquire information from a scanner, digital camera, Pad or from a file, which gives it flexibility with potential users. This work presents the development of a computer system that allows the recognition of handwritten text based on image processing techniques, artificial intelligence, artificial neural networks, and pattern recognition for natural and handwritten text recognition systems. In the proposed system the handwritten text is recognized with precision of 0.81 or higher

引用

页码：61 / 64

页数：4

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