- Ngô Quang Hải
- Lê Hoàng Phúc
- Research: We have researched several articles/documents on Automatic License Plate Recognition (ALPR) in order to find the way to solve our proplem by analyzing their approach. Here is the link to our summary and analysis on the documents we have found: Literature review
- Study: After doing research, there are many new knowledge we need to dive in before starting to begin this project.
- Data collection: Searching for data on the internet and start processing and labeling
- Implementation: After working with data and getting knowledge that is needed for this project, we starting implementing with chosen algorithms and collected data.
- Review and conclusion: After implementation, we look back the process to consider which we have done and which we need to do further in the future. Also, we make user guide for this project (as an application).
- Detection: Finds potential license plate regions
- Deskew: Transforms the perspective to a straight-on view based on the ideal license plate size
- Binarization: Convert plate regions into black and white for better recognisation
- Chracter segmentation: Isolates and cleans up the characters so that they can be processed individualy
- OCR: Analyzes each character image and provides multiple possible letters
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent