• Anuradha
• Nidhi Sengar

Machine Learning is the field that is frequently evolved with the growing application in computer science. The handwritten text recognition is still one of the problems for the researcher because of its substantial variation in appearance. Still, there is a need to narrow down the gap between the reading capabilities of humans and machines. Handwritten text recognition is the process in which the handwritten text is converted into a machine readable form. Handwritten text recognition is a difficult task as every person has a different style of writing, and even the same person writes the same character with style, whether there is a difference in shape, size of the position of the character. Handwritten text recognition is a popular field of research because of its wide range of applications like digitizing ancient articles, postal address processing, bank cheque processing, application form processing, and many other fields. This paper introduces the recognition of handwritten text in the English language using Tesseract. Many approaches have been proposed for better recognition of text. In this paper, we have discussed in detail about handwritten text recognition using a recurrent neural network.

"Handwritten Text Recognition Using Image Processing By Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.357-360, June 2019, Available :http://www.jetir.org/papers/JETIR1907V56.pdf

"Handwritten Text Recognition Using Image Processing By Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp357-360, June 2019, Available at : http://www.jetir.org/papers/JETIR1907V56.pdf