dc.contributor.author |
Rasiq, G.M. Rasiqul Islam |
|
dc.contributor.author |
Sefat, Abdullah Al |
|
dc.contributor.author |
Hasnain, M. M. Fahim |
|
dc.date.accessioned |
2021-11-23T09:56:24Z |
|
dc.date.available |
2021-11-23T09:56:24Z |
|
dc.date.issued |
2020-06-16 |
|
dc.identifier.uri |
http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/6434 |
|
dc.description.abstract |
Multiple Choice Question (MCQ) script sheets are very popular in Bangladesh as it is an easy way to take exams that include multiple choice questions. It is also a great way of collecting a huge amount of data in a short period of time. This research proposes a novel approach to analyzing and evaluating MCQ scripts without using any OMR machine or OMR paper. The first step is to scan the MCQ script as an image via an android smartphone. Secondly, the specific answer area from the image is cropped. After that, each answer choice is extracted and Black pixels are calculated in each choice to obtain the given answer. In the final step, a text file containing given answers to all questions is generated. |
en_US |
dc.language.iso |
en_US |
en_US |
dc.publisher |
Proceedings of the 2019 8th International Conference on System Modeling and Advancement in Research Trends, SMART 2019 , IEEE |
en_US |
dc.subject |
Digital image processing |
en_US |
dc.subject |
Optical mark reader |
en_US |
dc.subject |
Adaptive thresholding |
en_US |
dc.title |
Mobile Based MCQ Answer Sheet Analysis and Evaluation Application |
en_US |
dc.type |
Article |
en_US |