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Call for Papers:Vol.11 Issue.3

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Title: :  Handwriting Recognition
PaperId: :  8107
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 4 Issue 2 2018
DUI:    16.0415/IJARIIE-8107
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Aviral gargIMS Engineering College
Ankush VermaIMS Engineering College
Anand aggarwalIMS Engineering College
Saket Kumar SinghIMS Engineering College

Abstract

Computer Engineering
Natural Computing, Differential evolution, Chromosomes Classification, Data Classification.
Humans are said to unintentionally trace handwriting sequences in their brains based on handwriting experiences when recognising written text. The performance of handwriting recognition systems is dependent on the features extracted from the word image. A large body of features exists in the literature, but no method has yet been proposed to identify the most promising of these, other than a straightforward comparison based on the recognition rate. We examined a large set of algorithms including a deep learning method for classification of the handwriting characters. The best results were achieved using a Convolutional neural network

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IJARIIE Aviral garg, Ankush Verma, Anand aggarwal, and Saket Kumar Singh. "Handwriting Recognition" International Journal Of Advance Research And Innovative Ideas In Education Volume 4 Issue 2 2018 Page 3265-3269
MLA Aviral garg, Ankush Verma, Anand aggarwal, and Saket Kumar Singh. "Handwriting Recognition." International Journal Of Advance Research And Innovative Ideas In Education 4.2(2018) : 3265-3269.
APA Aviral garg, Ankush Verma, Anand aggarwal, & Saket Kumar Singh. (2018). Handwriting Recognition. International Journal Of Advance Research And Innovative Ideas In Education, 4(2), 3265-3269.
Chicago Aviral garg, Ankush Verma, Anand aggarwal, and Saket Kumar Singh. "Handwriting Recognition." International Journal Of Advance Research And Innovative Ideas In Education 4, no. 2 (2018) : 3265-3269.
Oxford Aviral garg, Ankush Verma, Anand aggarwal, and Saket Kumar Singh. 'Handwriting Recognition', International Journal Of Advance Research And Innovative Ideas In Education, vol. 4, no. 2, 2018, p. 3265-3269. Available from IJARIIE, http://ijariie.com/AdminUploadPdf/Handwriting_Recognition_ijariie8107.pdf (Accessed : 10 May 2018).
Harvard Aviral garg, Ankush Verma, Anand aggarwal, and Saket Kumar Singh. (2018) 'Handwriting Recognition', International Journal Of Advance Research And Innovative Ideas In Education, 4(2), pp. 3265-3269IJARIIE [Online]. Available at: http://ijariie.com/AdminUploadPdf/Handwriting_Recognition_ijariie8107.pdf (Accessed : 10 May 2018)
IEEE Aviral garg, Ankush Verma, Anand aggarwal, and Saket Kumar Singh, "Handwriting Recognition," International Journal Of Advance Research And Innovative Ideas In Education, vol. 4, no. 2, pp. 3265-3269, Mar-App 2018. [Online]. Available: http://ijariie.com/AdminUploadPdf/Handwriting_Recognition_ijariie8107.pdf [Accessed : 10 May 2018].
Turabian Aviral garg, Ankush Verma, Anand aggarwal, and Saket Kumar Singh. "Handwriting Recognition." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 4 number 2 (10 May 2018).
Vancouver Aviral garg, Ankush Verma, Anand aggarwal, and Saket Kumar Singh. Handwriting Recognition. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2018 [Cited : 10 May 2018]; 4(2) : 3265-3269. Available from: http://ijariie.com/AdminUploadPdf/Handwriting_Recognition_ijariie8107.pdf
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