ctripcorp/C-OCR
C-OCR是携程自研的OCR项目，主要包括身份证、护照、火车票、签证等旅游相关证件、材料的识别。 项目包含4个部分，拒识、检测、识别、后处理。 observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 2701
- days_rel: n/a
- days_push: 931
- n_releases_24m: 0
Adoption not part of the score
2476 stars · 625 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
C-OCR is Ctrip's in-house OCR project focused on recognizing travel-related documents such as ID cards, passports, train tickets, and visas. It is composed of four parts: rejection handling, detection, recognition, and post-processing.
Use cases
- extract text from passport photos
- recognize chinese id cards in images
- parse train tickets with ocr
- read visa documents automatically
- detect and recognize travel documents
- ocr pipeline for identity verification
When to choose
- you need OCR tuned for travel documents like passports, ID cards, and train tickets
- you want a Java-based OCR pipeline with detection, recognition, and post-processing stages
- you are building identity or document verification for travel or hospitality systems
When to avoid
- you need general-purpose OCR for arbitrary documents or handwriting
- you require an actively maintained project with a clear license
- you need a non-JVM stack or pretrained models with strong community support
Facets
library · maturity maintenance
ocr image-processing computer-vision nlp computer-vision image-processing travel jvm cross-platform travel-documents id-card-recognition passport document-detection chinese-ocr natural-language-processing
1 source
- readme: https://github.com/ctripcorp/C-OCR · fetched 2026-08-28 · d6ce5391220a
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| ctripcorp/C-OCR | main | 32 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem