Handwriting Text Recognition using CNN

Authors

  • Mohammad Yusuf Khan, Meghana PG, Mahesh Bharti, Kanaiya V Kanzaria, Kalpesh Mohanta

Abstract

Handwritten Text Recognition (HTR) is demanding research in the area of Image processing. Presently numerous recognition techniques are well-known for recognition of handwritten English characters. The impact on handwriting can be seen in most of the modern computer and communication technologies like fax machines, word processors and email, etc. Throughout this survey, converting a language appointed in its abstraction kind of graphical representation to symbolic representation is taken into account as handwriting recognition. The initial and the most important stages for building any handwritten recognition system are pre-processing, segmentation and feature extraction. Handwriting is challenging to recognize due to differences in size and shape of the alphabets of the language, angle of handwritten text. A variety of recognition technologies for handwritten English alphabets are conferred here.

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Published

2020-05-16

Issue

Section

Articles