The automatic extraction and recognition of news captions and annotations can be of great help locating topics of interest in digital news video libraries. To achieve this goal, we present a technique, called Video OCR (Optical Character Reader), which detects, extracts, and reads text areas in digital video data. In this paper, we address problems, describe the method by which Video OCR operat...

In this paper, we are presenting our work on the creation of the first optical character recognition (OCR) model for Northern Haida, also known as Masset or Xaad Kil, a nearly extinct First Nations language spoken in the Haida Gwaii archipelago in British Columbia, Canada. We are addressing the challenges of training an OCR model for a language with an extensive, non-standard Latin character se...

OCR (Optical Character Recognition) is the digital encoding of printed and handwritten characters from an image file created through a scanner or other optical imaging devices. In other words, OCR is a software program that converts image-texts into computerized or digital text (figure 1) . While OCR has been extensively used as the basic application of different learning methods in machine lea...

Image to text conversion is the vital area of research for many years. Mainly, Optical Character Recognition (OCR) in use to extract characters from the image. Character segmentation is a preprocessing step for an OCR. In this paper, we have discussed different character segment methods used in various domains. Some of the methods are used for handwritten character recognition and some of the m...

India is a multilingual country with 22 official languages and more than 1600 languages in existence. Kannada is one of the official languages and widely used in the state of Karnataka whose population is over 65 million. Kannada is one of the south Indian languages and it stands in the 33rd position among the list of widely spoken languages across the world. However, the survey reveals that mu...

This paper presents an efficient Optical Character Recognition (OCR) system for offline isolated Pashto characters recognition. Developing OCR handwritten character recognition is a challenging task because of the vary both in shape and style most time also among individuals. The identification inscribed letters becomes even palling due to unavailability standard database. For experimental simu...

Optical Character Recognition (OCR) is a system that provides a full alphanumeric recognition of printed or handwritten characters by simply scanning the text image. OCR system interprets the printed or handwritten characters image and converts it into corresponding editable text document. The text image is divided into regions by isolating each line, then individual characters with spaces. Aft...

Abstract The 2D bridge plans play an essential role in renovations or new replacements of transport infrastructures. As indispensable component plans, text serves as dimension labels, descriptions materials, etc. Optical Character Recognition (OCR) can convert image into machine‐encoded format, and has high potential invaluable practical worth for analyzing, managing, extracting textual informa...

Character segmentation is the major step of document image analysis and optical character recognition (OCR). The character segmentation is necessary to detect all the character regions in the image document. The proposed method preprocesses the image document with edge detection techniques to enhance the character edges. Further, the watershed algorithm is implemented to identify the regions of...

Handwriting extraction is the skill of a system to get and translate comprehensible hand written input via sources such as document, photos, tough screen and other devices. The picture of the written document is used to detect written text by the use of optical scanning i.e. known as optical character recognition. Handwriting extraction basically uses optical character recognition. Conversely, ...