Compare Dlib Image Processing and OpenCV 
Great 68 landmark face model for use in opencv And free too, making it accessible to indie and smaller projects without proprietary face tracking budgets
need to optimize and should have more functionality
- It is open source, also easy to install and setup. - Powerful API for face detection and image processing. - Multiple language support.
For images where lighting condition are not very good it may not work perfectly. POC for Text recognition ,result use to vary as per the picture quality and lighting condition.
Great 68 landmark face model for use in opencv And free too, making it accessible to indie and smaller projects without proprietary face tracking budgets
- It is open source, also easy to install and setup. - Powerful API for face detection and image processing. - Multiple language support.
need to optimize and should have more functionality
For images where lighting condition are not very good it may not work perfectly. POC for Text recognition ,result use to vary as per the picture quality and lighting condition.
