A Technical Review on Online Video Document Reader

Author Details

Text recognition of documents in captured frames from video in real-time is an active research area that aims to develop a computer application with the ability to automatically read text from images. The huge amount of data stored in video format can be extracted to obtain further useful information. Online verification of data during video calls is necessary since people are not physically available most of the time. Generally, images can be scanned, stored in a computer system, and the text data can be extracted. Another way to extract text data from captured scanned images from video frames is to scan them. It is easy to retrieve details of documents and store such information in a database. This information can be stored in various formats, such as PDF. Extracting text data from images or scanned video frames can be challenging when the image or captured video frame quality is blurry or unclear. Sometimes, it is impossible to recognize characters while reading different font character formats. Thus, character recognition mechanisms are required to perform document image analysis, which transforms hard copy images of documents into electronic format. In this paper, we reviewed and analyzed different methods for text recognition from images. The objective of such techniques is to store real-time information in computer systems.

Keywords

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