# gongxijun/ocr\_recognition

<https://repo.masters-masters.com/en/repos/gongxijun/ocr_recognition>

[Home](https://repo.masters-masters.com/en) › [gongxijun](https://repo.masters-masters.com/en/owners/gongxijun) › [ocr\_recognition](https://repo.masters-masters.com/en/repos/gongxijun/ocr_recognition)

gongxijun/ocr\_recognition has 111 stars on GitHub. Its RepoMasters card: Prototype tier. 验证码识别,该模型是基于xlvector模型上进行加工,验证码内容包含了大小字母以及数字,采用lstm+warp-ctc+cnn达到不分割字…

| Field | Value |
| --- | --- |
| Owner | [gongxijun](https://repo.masters-masters.com/en/owners/gongxijun) |
| Stars | 111 |
| Forks | 56 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2017 |
| Topics | ocr-recognition, warp-ctc, ocr, adhesion-character, dl, mxnet, recognition, captcha |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [gongxijun/ocr\_recognition](https://github.com/gongxijun/ocr_recognition) |

## Repository

验证码识别,该模型是基于xlvector模型上进行加工,验证码内容包含了大小字母以及数字,采用lstm+warp-ctc+cnn达到不分割字符而识别验证码内容～

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

## Nearby in Python

- [JoasASantos/php2shell-scanner · ★ 111 · Python · Prototype](https://repo.masters-masters.com/en/repos/JoasASantos/php2shell-scanner)
- [charolettebradford1361985svo-bit/stable-sprite-animation · ★ 111 · Python · Prototype](https://repo.masters-masters.com/en/repos/charolettebradford1361985svo-bit/stable-sprite-animation)
- [XinchengLabs/302api-developer-kit · ★ 111 · Python · Prototype](https://repo.masters-masters.com/en/repos/XinchengLabs/302api-developer-kit)
- [xmpppy/xmpppy · ★ 111 · Python · Prototype](https://repo.masters-masters.com/en/repos/xmpppy/xmpppy)
- [tav/pylibs · ★ 111 · Python · Prototype](https://repo.masters-masters.com/en/repos/tav/pylibs)
- [sampsyo/bluelet · ★ 111 · Python · Prototype](https://repo.masters-masters.com/en/repos/sampsyo/bluelet)

---
Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.
