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I want to develop End to End Text Recognition in Natural Scene Images

asked 2017-05-03 08:14:11 -0600

Guddu gravatar image

I want to develop an end-to-end text recognition (detection and recognition) in natural scene images. Would any body suggest me a simple methodology? I have read so many research papers but my methodology is still not clear.

Training Steps:

  1. Input Image
  2. Pre-proccessing
  3. Text Proposal Generation
  4. Feature Extraction
  5. Classification
  6. Trained Model

Testing Steps:

  1. Input Image
  2. Pre-proccessing
  3. Text Proposal Generation
  4. Feature Extraction
  5. Classification
  6. Recognized Text

Are these steps correct or I am doing any mistake? Any help please? thanks

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answered 2017-05-03 08:23:47 -0600

pi-null-mezon gravatar image

The good ideia is to check if anybody already solve your problem. Check opencv-text samples. I suggest you to start with this one.

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Asked: 2017-05-03 08:14:11 -0600

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Last updated: May 03 '17