Jul 24, 2019 · This chapter describes the most relevant approaches for the analysis of graphical documents. The graphics recognition pipeline can be ...
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Topics covered are data capture, segmentation into text and graphics regions, vectorization, identification of graphical primitives, and generation of succinct ...
This article will cover image recognition, an application of Artificial Intelligence (AI), and computer vision.
Graphics Recognition Techniques. This chapter describes the most relevant approaches for the analysis of graphical documents. The graphics recognition ...
TestArchitect offers you two methods for recognizing text produced by an AUT: Optical Character Recognition (OCR) and Graphics Device Interface (GDI) techniques ...
Techniques in this field include object recognition, image segmentation, and motion analysis. Applications range from facial recognition systems to ...
Image recognition is a mechanism used to identify an object within an image and to classify it in a specific category, based on the way human people recognize ...
An overview is presented of algorithms and techniques for document image analysis with an emphasis on those for graphics recognition and interpretation, ...
Structural techniques are able to handle all types of symbols (e.g., isolated, composite), and have a powerful relational representation. However, they suffer ...
[PDF] Graphics Recognition from Binary Images: One Step or Two Steps
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Generally, there are two ways to do the graphics recognition: one- step methods and two-step methods. The former recognizes graphic objects from binary images ...