Automatic Web Data Entry and Intelligent Document Processing

Author

Ramesh Byali , Jyothi , Megha Chidambar Shekadar

Abstract

There are documents in every company in the world, and more are being created all the time. They'll have to handle it manually. Manually completing papers requires a lot of time. When they spend too much time dealing with a paper filling approach, their productivity suffers. The project's objective is to create a bot that can extract data from unstructured documents and use deft OCR to turn them into structured versions.An example of an online form created with Google is an employee organization portal.The uploaded document by the employee will have specified data extracted by the bot. An excel spreadsheet will be used to store the extracted data.The necessary information is then automatically entered into the web form. It takes less time and produces data that are more accurate.

Keywords

Convolutional neural network, Deep Learning, Euclidean distance, Bounding box, Centroid, Threshold, Social Distancing, pedestrian identification.

DOI : https://doi.org/10.55248/gengpi.2022.3.8.8

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