russian-handwritten-text-recognition

The project of creating neural network possible to recognise Russian cursive handwritten text

Requirements

tensorflow >=2.5.0

Dataset

Model was trained using dataset from National Technological Olympiad in artificial intelligence and Hackaton in OCR held by Academy of artificial intelligence.

Usage

Don't forget to install tensorflow!

You need to download best-model.h5 and predict.py. Replace path_to_images variable with path to the images.

path_to_images = "your path here"

Your also have to remember that best-model.h5 should be in the same directory otherwise change the path here:

model.load_weights("best-model.h5")

Results

I got CER - 0.0194 and CTC loss - 1.6510

This is good result but it is still not perfect so be careful to use it

This model is able to recognise the following characters:

!, ", %, "", (, ), *, +, ,, -, ., /, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, :, ;, <, =, >, ?, A, B, C, D, E, F, G, H, I, J, K, L, M, N, O, P, R, S, T, U, V, W, X, Y, [, ], _, a, b, c, d, e, f, g, h, i, j, k, l, m, n, o, p, q, r, s, t, u, v, w, x, y, z, |, }, Ё, А, Б, В, Г, Д, Е, Ж, З, И, К, Л, М, Н, О, П, Р, С, Т, У, Ф, Х, Ц, Ч, Ш, Щ, Ы, Ь, Э, Ю, Я, а, б, в, г, д, е, ж, з, и, й, к, л, м, н, о, п, р, с, т, у, ф, х, ц, ч, ш, щ, ъ, ы, ь, э, ю, я, ё, №