• Riddhi J. Ambasana
• Hetal B. Thesiya
• Sarika K. Katariya

Automatic analysis rule for English handwriting quality is planned during this paper. English handwriting analysis is an important half in elemental English teaching. Generally, typical document image process approaches admit overseen options for capturing applied math or structural information. In distinction, we tend to profit of Convolutional Neural Networks (CNNs) for extracting options from raw image pixels. The performance of this rule is more practical than ancient machine learning strategies and also the accuracy is larger than 94% in our experiment. Supported this rule, an intelligent English handwriting marking system is intended and it's already on-line.

English handwriting quality, automatic evaluation, Convolutional Neural Networks, marking system

"A Deep Learning Algorithm for English Handwriting Evaluation Using CNN", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 2, page no.a148-a151, February-2022, Available :http://www.jetir.org/papers/JETIR2202018.pdf

"A Deep Learning Algorithm for English Handwriting Evaluation Using CNN", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 2, page no. ppa148-a151, February-2022, Available at : http://www.jetir.org/papers/JETIR2202018.pdf