How to create label file in charclas folder about handwriting-ocr HOT 2 OPEN

Hi,

I expect that you have your own dataset of letters, for training character classifier. In my solution images of letters are loaded from folder data/charclas/en where is a folder for each letter (plus a zero folder for wrongly separated letters). If you want to train the character classifier, just fill these folders with your letters. In file ocr/datahelpers.py is function loadCharsData() which loads the images. In your case you should call it as loadCharsData(charloc='data/charclas/', wordloc='', lang='en') and it outputs numpy array of images and numpy array of labels.

Hope it helps,
Breta

from handwriting-ocr.

Thanks @Breta01 I got it now ..Now I have created dataset and will train with your classifiers.
My end objective is

if such image is given the network should give sagar, by slicing each character.
I will update you the progress and happy to hear your input for my approach
thanks

from handwriting-ocr.