Handwriting Recognition

Aviral garg; Ankush Verma; Anand aggarwal; Saket Kumar Singh

Handwriting Recognition

April 2018

Vol-4, Issue-2

Paper ID: 8107

ISSN: 2395-4396

Downloads: 0

Abstract & Details

Research Area

Computer Engineering

Keywords

Natural Computing Differential evolution Chromosomes Classification Data Classification.

Abstract

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

License

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Author Information

#	Name	Institute / Affiliation
1	Aviral garg	IMS Engineering College
2	Ankush Verma	IMS Engineering College
3	Anand aggarwal	IMS Engineering College
4	Saket Kumar Singh	IMS Engineering College

How to Cite

Use the following formats to cite this article in your research.

APA Style

garg, Aviral, Verma, Ankush, aggarwal, Anand, & Singh, Saket Kumar (2018). Handwriting Recognition. International Journal of Advance Research and Innovative Ideas In Education, 4(2), 3265-3269.

MLA Style

garg, Aviral, et al. "Handwriting Recognition." International Journal of Advance Research and Innovative Ideas In Education, vol. 4, no. 2, 2018, pp. 3265-3269.

IEEE Style

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, 2018.

Vancouver Style

garg Aviral, Verma Ankush, aggarwal Anand, Singh Saket Kumar. Handwriting Recognition. International Journal of Advance Research and Innovative Ideas In Education. 2018;4(2):3265-3269.

Harvard Style

garg, Aviral, Verma, Ankush, aggarwal, Anand, & Singh, Saket Kumar (2018) 'Handwriting Recognition', International Journal of Advance Research and Innovative Ideas In Education, 4(2), pp. 3265-3269.

Chicago Style

garg, Aviral, et al. "Handwriting Recognition." International Journal of Advance Research and Innovative Ideas In Education 4, no. 2 (2018): 3265-3269.

Turabian Style

garg, Aviral, et al. "Handwriting Recognition." International Journal of Advance Research and Innovative Ideas In Education 4, no. 2 (2018): 3265-3269.