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Title: :  Handwriting text recognition
PaperId: :  20274
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 9 Issue 3 2023
DUI:    16.0415/IJARIIE-20274
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Kajal Ovhal Suman Ramesh Tulsiani Technical Campus Kamshet
Mrunali Bhong Suman Ramesh Tulsiani Technical Campus Kamshet
Vijaya Madane Suman Ramesh Tulsiani Technical Campus Kamshet

Abstract

Computer engineering
Handwriting, text
This project seeks to classify an individual handwritten word so that handwritten text can be translated to a digital form. We used two main approaches to accomplish this task: classifying words directly and character segmentation. For the former, we use Convolutional Neural Network (CNN) with various architectures to train a model that can accurately classify words. For the latter, we use Long Short Term Memory networks (LSTM) with convolution to construct bounding boxes for each character. We then pass the segmented characters to a CNN for classification, and then reconstruct each word according to the results of classification and segmentation.

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IJARIIE Kajal Ovhal , Mrunali Bhong , and Vijaya Madane . "Handwriting text recognition" International Journal Of Advance Research And Innovative Ideas In Education Volume 9 Issue 3 2023 Page 1428-1437
MLA Kajal Ovhal , Mrunali Bhong , and Vijaya Madane . "Handwriting text recognition." International Journal Of Advance Research And Innovative Ideas In Education 9.3(2023) : 1428-1437.
APA Kajal Ovhal , Mrunali Bhong , & Vijaya Madane . (2023). Handwriting text recognition. International Journal Of Advance Research And Innovative Ideas In Education, 9(3), 1428-1437.
Chicago Kajal Ovhal , Mrunali Bhong , and Vijaya Madane . "Handwriting text recognition." International Journal Of Advance Research And Innovative Ideas In Education 9, no. 3 (2023) : 1428-1437.
Oxford Kajal Ovhal , Mrunali Bhong , and Vijaya Madane . 'Handwriting text recognition', International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 3, 2023, p. 1428-1437. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Handwriting_text_recognition_ijariie20274.pdf (Accessed : ).
Harvard Kajal Ovhal , Mrunali Bhong , and Vijaya Madane . (2023) 'Handwriting text recognition', International Journal Of Advance Research And Innovative Ideas In Education, 9(3), pp. 1428-1437IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Handwriting_text_recognition_ijariie20274.pdf (Accessed : )
IEEE Kajal Ovhal , Mrunali Bhong , and Vijaya Madane , "Handwriting text recognition," International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 3, pp. 1428-1437, May-Jun 2023. [Online]. Available: https://ijariie.com/AdminUploadPdf/Handwriting_text_recognition_ijariie20274.pdf [Accessed : ].
Turabian Kajal Ovhal , Mrunali Bhong , and Vijaya Madane . "Handwriting text recognition." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 9 number 3 ().
Vancouver Kajal Ovhal , Mrunali Bhong , and Vijaya Madane . Handwriting text recognition. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2023 [Cited : ]; 9(3) : 1428-1437. Available from: https://ijariie.com/AdminUploadPdf/Handwriting_text_recognition_ijariie20274.pdf
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