captcha_cracker
Character classifier
An image recognition system using a deep learning model to classify characters from verification codes
卷积神经网络实现的验证码识别
189 stars
3 watching
56 forks
Language: Python
last commit: about 2 years ago
Linked from 1 awesome list
cnn-kerasneural-networktensorflow
Related projects:
Repository | Description | Stars |
---|---|---|
| A system for solving opt-in CAPTCHAs by detecting text within images and classifying it using a trained model. | 653 |
| Deep learning-based system to recognize and classify 12306 captcha images | 281 |
| An implementation of a Convolutional Neural Network using Keras for CAPTCHA recognition and classification | 287 |
| A project demonstrating image classification using Convolutional Neural Networks (CNNs) to solve captchas | 998 |
| A deep learning model for classifying images with four digits | 68 |
| A Python library for training and recognizing image-based captchas using TensorFlow without requiring image segmentation. | 558 |
| A comprehensive collection of tools and techniques for breaking and recognizing various types of CAPTCHAs used in online services | 1,049 |
| A test suite for breaking CAPTCHA images using machine learning and computer vision techniques. | 224 |
| An open-source project that uses computer vision and machine learning to automatically solve CAPTCHAs from various websites. | 725 |
| Automated solution of CAPTCHA images using simulated unsupervised learning and Generative Adversarial Networks (GANs) | 434 |
| An implementation of a character-based convolutional neural network for text classification. | 259 |
| A universal API to interact with various CAPTCHA solving services | 244 |
| This project demonstrates how to build and train a convolutional neural network (CNN) to recognize Chinese characters. | 200 |
| A CAPTCHA solver that extracts and matches text from an image by calculating pixel differences between the input image and pre-computed letter masks. | 556 |
| A framework for classifying cryptographic primitives using dynamic binary instrumentation and deep learning | 39 |