Character Recognition using Machine Learning and Deep Learning - A Survey

被引：0

作者：

Sharma, Reya ^{[1
]}

Kaushik, Baijnath ^{[1
]}

Gondhi, Naveen ^{[1
]}

机构：

[1] Shri Mata Vaishno Devi Univ, Comp Sci & Engn, Katra, India

来源：

2020 INTERNATIONAL CONFERENCE ON EMERGING SMART COMPUTING AND INFORMATICS (ESCI) | 2020年

关键词：

Deep learning; machine learning; OCR; CNN; pattern recognition;

D O I：

10.1109/esci48226.2020.9167649

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Digitization of machine printed or handwritten text documents have become very popular with the advancements in computing and technology. Humans have tried to automatized their work by replacing themselves with machines. The transformation from manual to automatization gave rise to several research areas and text recognition is one among them. Deep learning and machine learning techniques have been proved to be very suitable for optical character recognition. In this work, an up-to-date overview of four machine learning and deep learning architectures, viz., Support vector machine, Artificial neural network, Naive Bayes and Convolutional neural network have been discussed in detail.

引用

页码：341 / 345

页数：5

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