The intuition behind attention mechanism in Optical Character Recognition

Question

With the help of python programming can you tell me The intuition behind attention mechanism in Optical Character Recognition

Answer 1

 In Optical Character Recognition (OCR), the attention mechanism helps focus on relevant text regions in an image, improving accuracy by dynamically weighting important spatial features.

Here is the code snippet you can refer to:

In the above code, we are using the following key points:

• Uses CNN for feature extraction, capturing character structure.
• Integrates a BiLSTM, handling sequential dependencies in text.
• Applies an attention mechanism, weighting relevant character regions dynamically.
• Final classification layer predicts character probabilities, improving OCR accuracy.

Hence, the attention mechanism in OCR allows the model to selectively focus on important text areas, enhancing recognition performance by filtering out irrelevant background noise.