# YIYIMZ/my\_orc\_keras\_verification\_code\_identification

<https://repo.masters-masters.com/en/repos/YIYIMZ/my_orc_keras_verification_code_identification>

[Home](https://repo.masters-masters.com/en) › [YIYIMZ](https://repo.masters-masters.com/en/owners/YIYIMZ) › [my\_orc\_keras\_verification\_code\_identification](https://repo.masters-masters.com/en/repos/YIYIMZ/my_orc_keras_verification_code_identification)

YIYIMZ/my\_orc\_keras\_verification\_code\_identification has 242 stars on GitHub. Its RepoMasters card: Prototype tier. 本项目实现了ocr主流算法gru/lstm+ctc+cnn架构，进行不定长度验证码识别…

| Field | Value |
| --- | --- |
| Owner | [YIYIMZ](https://repo.masters-masters.com/en/owners/YIYIMZ) |
| Stars | 242 |
| Forks | 96 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2018 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [YIYIMZ/my\_orc\_keras\_verification\_code\_identification](https://github.com/YIYIMZ/my_orc_keras_verification_code_identification) |

## Repository

本项目实现了ocr主流算法gru/lstm+ctc+cnn架构，进行不定长度验证码识别，达到不分割字符而识别验证码内容的效果。验证码内容包含了大小字母以及数字，并增加点、线、颜色、位置、字体等干扰项。本项目对gru +ctc+cnn、lstm+ctc+cnn、cnn三种架构进行了对比，实践说明同等训练下gru/lstm+ctc+cnn架构准确率和速度均明显优于cnn架构，gru +ctc+cnn优于lstm+ctc+cnn，在实验2500个样本数据200轮训练时，gru +ctc+cnn架构在500样本测试准确率达90.2%。本项目技术能够训练长序列的ocr识别，更换数据集和相关调整，即可用…

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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