captcha_recognize

by PatrickLib

PatrickLib / captcha_recognize

Image Recognition captcha without image segmentation 无需图片分割的验证码识别

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Introduce

Translation: English 中文

image recognition captchas using TensorFlow, no need image segmentation, run on ubuntu 16.04, python 2.7

captchacaptchacaptchacaptchacaptchacaptcha

accuracy 99.7% judged by captcha_eval.py, training size 50000, after 20000 steps captcha generator: https://github.com/lepture/captcha

captchacaptchacaptchacaptchacaptchacaptcha

accuracy 52.1% judged by captcha_eval.py, training size 100000, after 200000 steps 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 /data/train_data/ for training, /data/valid_data/ for evaluating and /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 /data/train.tfrecord and /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 /data/test_data/ for recogition

python captcha_recognize.py
result like this
...
image WFPMX_num552.png recognize ----> 'WFPMX'
image QUDKM_num468.png recognize ----> 'QUDKM'

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