• Neha Mohan Mane
• Mallangouda Biradar

You can apply a straightforward OCR on your own transcribed digits utilizing this python content. In this undertaking OpenCV python libraries are utilized to pre-measure the picture and to separate the digits from the image. Utilizing K-Nearest Neighbour’s (or SVM) as the model - prepared information is utilized of any transcribed informational index. I have additionally incorporated the unreservedly [available](http://yann.lecun.com/exdb/mnist/) MNIST informational collection so we can probe how extraordinary datasets work with various penmanship styles.

DIGIT RECOGNITION BASED ON USER INPUT

"DIGIT RECOGNITION BASED ON USER INPUT", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 9, page no.231-234, September-2020, Available :http://www.jetir.org/papers/JETIR2009235.pdf

"DIGIT RECOGNITION BASED ON USER INPUT", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 9, page no. pp231-234, September-2020, Available at : http://www.jetir.org/papers/JETIR2009235.pdf