This paper features a software system called ∞Exam (Infinity Exam) which supports (primarily in higher education) paper-based examination and makes it easier, more comfortable, and speed up the whole process while making keeping every single positive attribute of it but also reducing the number of negative aspects. The approach significantly differs from the ones used in the previous 10+ years which were implemented in such a way that they could not reproduce and replace the traditional based paper examination model. The heart of the article relies on the most important element of the software which is the image processing flow. The way of conducting testing the knowledge of a person using Multiple Choice Questions (MCQ) has been increased gradually. In education industries (like schools and colleges) it is more common now days having tests using multiple-choice questions. Even in conducting interviews, it is used. The current day scenario is either using OMR technology to correct the test or manually. In real-time, it is quite difficult to have OMR at all the time and manually it is highly taking the time to correct and it may give you the error. We address this issue, in our proposed system we using digital image processing technique to correct the answer using multiple choice questions in python. We are here using the Open Source Computer Vision Library (Open CV) to process and correct the answer. Python is the best language to implement this concept with the available Open CV library. In this system, we also implement it in the Django environment.