Hello comunity. I am working in a project to recognize just numbers
My recognizer is trained with "0123456789" characters
Moreover, I created a pipeline with a text detector + deep-text-recognition-benchmark-model to do OCR task.
When the text has just numbers it works ok, but when the text detector capture non numeric information my deep-text-recognition-benchmark-model assign numbers to the letters (has sense).
For instance, in the next text captured "H23", i would like to get something like "[UNK]23" or "_23" instead of "723"
The problem lies with the text detector. If you want to recognize only number then the input from text detector should only detect the number box. Why don't you just train on the English text and do a post-processing?
Hello comunity. I am working in a project to recognize just numbers
My recognizer is trained with "0123456789" characters Moreover, I created a pipeline with a text detector + deep-text-recognition-benchmark-model to do OCR task.
When the text has just numbers it works ok, but when the text detector capture non numeric information my deep-text-recognition-benchmark-model assign numbers to the letters (has sense).
For instance, in the next text captured "H23", i would like to get something like "[UNK]23" or "_23" instead of "723"
Could you give me a suggestion?