Introduce

Image recognition captchas using TensorFlow, no need image segmentation, run on Ubuntu 18.04, Python 3.10, Tensorflow 2.10.0, Numpy 1.23.4

Accuracy is directly related to generated Training data size and the Learning steps number. For example, captcha generator: https://github.com/Gregwar/CaptchaBundle

Dependence

python 2.7

Anaconda2 4.3.1

https://www.continuum.io/downloads#linux

TensorFlow 1.1

https://github.com/tensorflow/tensorflow

captcha

https://pypi.python.org/pypi/captcha/0.1.1

Usage

1.prepare captchas

put your own captchas in <current_dir>/data/train_data/ for training, <current_dir>/data/valid_data/ for evaluating and <current_dir>/data/test_data/ for recognize testing, images file name must be label_*.jpg or label_*.png and recommend size 128x48. you can also use default generation:

python captcha_gen_default.py

2.convert dataset to tfrecords

the result file will be <current_dir>/data/train.tfrecord and <current_dir>/data/valid.tfrecord

python captcha_records.py

3.training

train and evaluate neural network on CPU or one single GPU

python captcha_train.py

you can also train over multiple GPUs

python captcha_multi_gpu_train.py

4.evaluate

python captcha_eval.py

5.recognize

read captchas from <current_dir>/data/test_data/ for recogition

python captcha_recognize.py

result like this

...
image WFPMX_num552.png recognize ----> 'WFPMX'
image QUDKM_num468.png recognize ----> 'QUDKM'