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OpenCV By Example

You're reading from  OpenCV By Example

Product type Book
Published in Jan 2016
Publisher Packt
ISBN-13 9781785280948
Pages 296 pages
Edition 1st Edition
Languages
Authors (3):
Prateek Joshi Prateek Joshi
Profile icon Prateek Joshi
David Millán Escrivá David Millán Escrivá
Profile icon David Millán Escrivá
Vinícius G. Mendonça Vinícius G. Mendonça
Profile icon Vinícius G. Mendonça
View More author details

Table of Contents (18) Chapters

OpenCV By Example
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
Getting Started with OpenCV An Introduction to the Basics of OpenCV Learning the Graphical User Interface and Basic Filtering Delving into Histograms and Filters Automated Optical Inspection, Object Segmentation, and Detection Learning Object Classification Detecting Face Parts and Overlaying Masks Video Surveillance, Background Modeling, and Morphological Operations Learning Object Tracking Developing Segmentation Algorithms for Text Recognition Text Recognition with Tesseract Index

How the text API works


The text API implements the algorithm proposed by Lukás Neumann and Jiri Matas in the article called Real-Time Scene Text Localization and Recognition during the CVPR (Computer Vision and Pattern Recognition) Conference in 2012. This algorithm represented a significant increase in scene text detection, performing the state-of-the art detection both in the CVPR database as well as in the Google Street View database.

Before we use the API, let's take a look at how this algorithm works under the hood, and how it addresses the scene text detection problem.

Note

Remember that the OpenCV 3.0 text API does not come with the standard OpenCV modules. It's an additional module present in the OpenCV contribute package. If you need to install OpenCV using the Windows Installer, refer to Chapter 1, Getting Started with OpenCV, which will help you install these modules.

The scene detection problem

Detecting text that randomly appears in a scene is a problem harder than it looks. There...

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