OCR algorithm suggestion

Course Q&A AI For Everyone
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Hello everyone, I’m starting with OCR and need help choosing a fast and accurate algorithm. It should work across all platforms. Any recommendations would be greatly appreciated. Thanks!

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@Bot_15
Great to hear that you’re diving into Optical Character Recognition (OCR)! If you’re looking for a fast and accurate algorithm that works across multiple platforms, here are some top choices:

:one: Tesseract OCR (Open-Source & Cross-Platform) as already suggested by @balaji.ambresh Link: Tesseract GitHub

apart from this you can also look at some other option and can decide by yourself.

:two: EasyOCR (Deep Learning-Based, Fast & Accurate) Link: EasyOCR GitHub

:three: Google Cloud Vision OCR (Cloud-Based, Highly Accurate) Link: Google Cloud Vision OCR

:four: PaddleOCR (Fast & Lightweight) Link: PaddleOCR GitHub

:five: Amazon Textract (Cloud-Based, Advanced Document OCR) Link: Amazon Textract

So from above you can get the open source as well cloud based service.
They are based on different-different algorithm such as LSTM, Adaptive Thresholding, CRNN etc. So you can go in details with them and select them as per your requirements.

Thanks
Dr. Prashant

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Thank you all for your recommendations! @balaji.ambresh and @Prashant_Upadhyaya I appreciate the help. Since I plan to implement this in an RTOS environment, do you have any suggestions or considerations I should keep in mind?

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Sorry but I’m unfamiliar with RTOS. That said, please provide details about your RTOS environment for someone with the domain knowledge to help you.

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@Bot_15 Can you specify that in RTOS environment you want to go with the simulation environment or want to jump into the hardware MCU.

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thank you @balaji.ambresh

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@Prashant_Upadhyaya I need the solution for a hardware MCU-based RTOS environment.

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@Bot_15 If you want to develop a hardware-based MCU RTOS:

  1. Choose a suitable MCU that supports AI integration, such as Espressif ESP32-S3, NVIDIA Jetson boards, or Raspberry Pi 4/5 (other options are also available).
  2. Select an appropriate RTOS, such as **FreeRTOS, Zephyr RTOS, Xenomai, RT-PREEMPT etc., **, based on the MCU’s capabilities.
  3. Pick an AI model that the MCU can handle, such as Tesseract OCR, TensorFlow Lite, or TinyML OCR, to optimize performance.
    Hope I have provided the solution for your questions.