Handwritten Telugu Character Recognition Using Convolutional Neural Networks

Registration ID: IJNRD_187157

Published ID: IJNRD2304119

DOI: Click Here to Get

Rudra Gangapavanidevi , Sarihaddu Jagan Mohan , Vasa Pavan kumar , Puchakayala Swetha , Pilli Ramya

Optical character recognition(OCR) , Convolution Neural Networks, Recognition, Hand written Recognition(HCR)

Handwritten recognition plays vital role in the recognition of characters of old documents by using Optical character recognition and Convolution Neural Networks. The main challenge in the existing Telugu OCR system is unable to recognizes and the slant correction of the Handwritten text of Telugu characters. To overcome this problem using different Telugu character images as dataset and convolutional neural network method to obtain high accuracy and recognition rate. Generally conventional neural network method will have different layers like conventional layer, max pooling layer, fully connected layer andSoftMax layer. Once the input character image is passed through these layers and finally obtain the recognized character as outputimage from SoftMax layer.

Published Paper   E-Certificate

Rudra Gangapavanidevi, Sarihaddu Jagan Mohan, Vasa Pavan kumar, Puchakayala Swetha, & Pilli Ramya (April-2023). Handwritten Telugu Character Recognition Using Convolutional Neural Networks. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(4), b178-b182. https://ijnrd.org/papers/IJNRD2304119.pdf

Volume 8 Issue 4, April-2023

Pages : b178-b182

Paper Reg. ID: IJNRD_187157

Published Paper Id: IJNRD2304119

Downloads: 000121993

Research Area: Computer Science & Technology 

Country: Tadepalligudem, Andhra Pradesh, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2304119.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2304119

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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