How do I use the computer vision service?
To use the Computer Vision service, you can either create a Computer Vision resource or a Cognitive Services resource.
If you plan to use Computer Vision along with other cognitive services, such as:
Text Analytics you can create a Cognitive Services resource or else you can create a Computer Vision resource. ,
How does handwriting recognition work?
Our handwriting recognition system utilized basic computer vision and image processing algorithms (edge detection, contours, and contour filtering) to segment characters from an input image.
From there, we passed each individual character through our trained handwriting recognition model to recognize each character.
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How is OCR related to Intelligent Document Processing (IDP)?
Intelligent Document Processing (IDP) uses OCR as its foundational technology to additionally extract structure, relationships, key-values, entities, and other document-centric insights with an advanced machine-learning based AI service like Document Intelligence.
Document Intelligence includes a document-optimized version of Read as its OCR engine.
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How to use OCR
Try out OCR by using Vision Studio.
Then follow one of the links to the Read edition that best meet your requirements.
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OCR (Read) editions
Important
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OCR common features
The Read OCR model is available in Azure AI Vision and Document Intelligence with common baseline capabilities while optimizing for respective scenarios.
The following list summarizes the common features:
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OCR data privacy and security
As with all of the Azure AI services, developers using the Azure AI Vision service should be aware of Microsoft's policies on customer data.
See the Azure AI services page on the Microsoft Trust Center to learn more.
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OCR engine
Microsoft's Read OCR engine is composed of multiple advanced machine-learning based models supporting global languages.
It can extract printed and handwritten text including mixed languages and writing styles.
Read is available as cloud service and on-premises container for deployment flexibility.
With the latest preview, it's also available as a synchronous API for single, non-document, image-only scenarios with performance enhancements that make it easier to implement OCR-assisted user experiences.
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OCR supported languages
Both Read versions available today in Azure AI Vision support several languages for printed and handwritten text.
OCR for printed text includes support for English, French, German, Italian, Portuguese, Spanish, Chinese, Japanese, Korean, Russian, Arabic, Hindi, and other international languages that use Latin, Cyrillic, Arabic, and Devanagari scripts.
OCR for handwritten text includes support for English, Chinese Simplified, French, German, Italian, Japanese, Korean, Portuguese, and Spanish languages.
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Overview
OCR or Optical Character Recognition is also referred to as text recognition or text extraction.
Machine-learning-based OCR techniques allow you to extract printed or handwritten text from images such as posters, street signs and product labels, as well as from documents like articles, reports, forms, and invoices.
The text is typically extracted a.
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Use the OCR cloud APIs or deploy on-premises
The cloud APIs are the preferred option for most customers because of their ease of integration and fast productivity out of the box.
Azure and the Azure AI Vision service handle scale, performance, data security, and compliance needs while you focus on meeting your customers' needs.
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What is computer vision based on?
According to my understanding, computer vision, basically, is to infer di erent factors such as:
camera model lighting color texture shape and motion that a ect images and videos from visual inputs.
A rough structure of machine vision could be illustrated by Figure 2.
In Figure 2:What is computer vision? . ,
Why should we study computer vision?
The study of computer vision could make possible such tasks as 3D reconstruction of scenes, motion capturing, and object recognition, which are crucial for even higher-level intelligence such as:
image and video understanding and motion understanding.
Vision perception itself is an intelligent process, not just an imaging process. 