Аннотация:This paper proposes improved Template Matching algorithm that applied for the automatic extraction of text from image and video frames. Optical Character Recognition using Template Matching is a system model that is useful to recognize the character, alphabet & special character by comparing two images of the alphabet. The objectives of this system model are to develop a model for the Optical Character Recognition (OCR) system and to implement the Template Matching algorithm in developing the system model. The template matching techniques are more sensitive to font and size variations of the characters than the feature classification methods. This system tested the 25 videos with 370 video frames for each video. In this system 91% of the Character gets recognized successfully using Texture-based approaches to automatic detection, segmentation and recognition of visual text occurrences in images and video frames.
