MCQ IN COMPUTER SCIENCE & ENGINEERING

Detailed explanation-1: -Optical Character Recognition (OCR) is used to analyze text in images. The proposed algorithm deals with taking scanned copy of a document as an input and extract texts from the image into a text format using Otsu’s algorithm for segmentation and Hough transform method for skew detection.

Detailed explanation-2: -The objective of OCR is to achieve modification or conversion of any form of text or text-containing documents such as handwritten text, printed or scanned text images, into an editable digital format for deeper and further processing.

Detailed explanation-3: -A simple OCR engine works by storing many different font and text image patterns as templates. The OCR software uses pattern-matching algorithms to compare text images, character by character, to its internal database. If the system matches the text word by word, it is called optical word recognition.