El Bruno

Hello

In the post yesterday I shared an example to show how to recognize text in pictures. The OCR API returns a collection of regions where the text is recognized.

If we go through each region can recognize points to create a frame, and inside it is the recognized text.

If we put together the facial recognition with text, we have a collection of Frames to add the image with different recognized elements.

Finally, an example with a meme and the great Ron Burgundy

With the following results

Language: en
Orientation: Up
Text Angle: 0
Region

BoundingBox: 25,8,489,396
Rectangle:
Left 25, Top 8,
Height 396, Width 489

Lines
I’M NOT ANTI-SOCIAL
I’M SELECTIVELY SOCIAL
THERE’S A DIFFERENCE.

The source code is avilable in GitHub https://github.com/elbruno/ProjectOxford

Greetings @ Madrid !

El Bruno

References

• Project Oxford
  • Project Oxford Emotion APIs
  • Project Oxford Face APIs
  • Project Oxford Vision APIs
• My Azure ML Vision APIs series
  • VisionAPI add a frame for each detected text
  • VisionAPI implementation for image analysis
  • Adding Vision API capabilities in our apps
• My Azure ML Emotion APIs series
  • Display Emotions API and Face API in the detected face frame
  • Hello Emotions! Face APIs and Emotions APIs are the perfect combo to analyze people moods!
  • Complete sample of Face APIs and Emotions APIs
• My Azure ML Face APIs series
  • Face APIs in Azure
  • Hello Face: Face APIs in a Console App
  • Hello Face: Face APIs in a WPF App
  • Hello Face: Face APIs in a Windows 8.1 App
  • Hello Face: Frame in each detected face in Windows 8.1 App
  • Hello Face: Windows 8.1 Apps and MVVM
  • Hello Face: Webcam and Windows 8.1 Apps