Recognition of '1' from table filled in by hand

Hi BavQuant

Improving Textract's recognition of handwritten numbers, especially the digit '1', can be challenging but there are several approaches you can try to enhance its accuracy:

• Image Quality: Ensure the scanned or photographed image of the table is of high quality with good lighting and minimal noise. This can significantly improve Textract's ability to recognize characters accurately.
• Font and Size: Use a clear, legible font for the handwritten numbers. Ensure that the size of the numbers is consistent and large enough for Textract to recognize them accurately.
• **Contrast: **Ensure there is enough contrast between the handwritten numbers and the background. Using a different color for the handwritten numbers, especially one with high contrast against the background, may help improve recognition.
• Preprocessing: Before using Textract, you can preprocess the image to enhance the handwritten numbers. Techniques such as binarization, noise reduction, and edge enhancement can help improve the clarity of the digits.
• Training Custom Models: Textract provides the capability to train custom models for handwriting recognition. You can collect a dataset of handwritten numbers similar to the ones you're working with and train a custom model to improve recognition accuracy.
• Post-processing: After extracting the text using Textract, you can perform post-processing to correct any misinterpretations. For example, you can implement logic to identify the digit '1' based on context or neighboring characters and correct any misinterpretations.
• **Alternative Representations: **As you suggested, experimenting with different representations of the digit '1', such as using a different style or adding additional features to distinguish it from a column separator, may also help improve recognition accuracy.