• G.Tirumalesh
• K.L.Srinivas
• K.Pratima
• N.Arun Kumar
• Y.Hemanth Sai Raj

In the domain of Artificial Intelligence, scientist brought ultra-modern changes in many fields, one of them is image processing. This paper aims to represent the process of Converting handwritten text to computer typed document which is an optical cursive handwritten recognition (OCR) by using segmentation based algorithms like VPP (vertical projection profile), TDP (top down profile) and the other histogram (vertical and horizontal) projection algorithms to achieve the solution. Several other approaches were also available for the segmentation of text into individual characters. For feature extraction and character recognition pytorch which is an open source machine learning tool library in python used for computer vision and natural language processing.

Vertical Projection Profile (VPP), Top Down Profile (TDP), Pytorch,Torchvision

"OPTICAL CURSIVE HANDWRITTEN RECOGNITION USING VPP & TDP NATIVE SEGMENTATION ALGORITHMS AND NEURAL NETWORKS (PYTORCH TOOL)", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 4, page no.191-202, April-2020, Available :http://www.jetir.org/papers/JETIR2004233.pdf

"OPTICAL CURSIVE HANDWRITTEN RECOGNITION USING VPP & TDP NATIVE SEGMENTATION ALGORITHMS AND NEURAL NETWORKS (PYTORCH TOOL)", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 4, page no. pp191-202, April-2020, Available at : http://www.jetir.org/papers/JETIR2004233.pdf