Design and Implementation of Automatic Student Evaluation form Processing System Using Image Analysis Techniques
| dc.contributor.advisor | Assabie, Yaregal (PhD) | |
| dc.contributor.author | Shumeye, Demeke | |
| dc.date.accessioned | 2018-06-18T12:29:30Z | |
| dc.date.accessioned | 2023-11-29T04:06:45Z | |
| dc.date.available | 2018-06-18T12:29:30Z | |
| dc.date.available | 2023-11-29T04:06:45Z | |
| dc.date.issued | 2011-06 | |
| dc.description.abstract | Addis Ababa University (AAU) is one of the largest universities in Ethiopia. It has more than sixty thousand students and more than two thousand academic staffs. To know the teaching effectiveness of the academic staff and to get the student views regarding the teaching performance of instructors, the university has prepared a questionnaire form, which contains about 36 statements that will be filled by students. These forms are processed manually in such a way that the values given by the students for each statement are added and the average values are computed. Then these values are divided by the total number of students to get the total average values given by all the students. Processing the student evaluation form manually for a large number of students makes the processing of the forms tedious, time taking and error prone. To alleviate this problem a mechanism has to be developed by using different form processing techniques. In this project a digital image analysis technique is used to process the form. For this project, MATLAB is used as a programming tool since it is high-performance language for technical computing that integrates computation, visualization, and programming where problems and solutions are expressed in mathematical notation. The system is designed to recognize only the values encircled by the students against each statement. After the document is scanned a template image is taken from the normalized gradient field of the image. Gradient is the change in gray level with direction. This can be calculated by taking the difference in value of neighboring pixels, producing a vector for each pixel. Thus, the gradient field of the image is normalized with a certain threshold value. Noise is removed while computing the gradient field of the image. Template matching image analysis technique is used, to detect regions which contain choices against each statement. Then, values encircled by the students are detected by finding relative circles having a range of radius in the detected region. The coordinate values of the detected circles are used to recognize values encircled by the students. Finally, recognized values for each statement are added and the average values are computed. Then these values are divided by the total number of students to get the total average values given by all the students. Keywords: Addis Ababa University, Student evaluation form, Template matching, Recognition | en_US |
| dc.identifier.uri | http://etd.aau.edu.et/handle/123456789/1361 | |
| dc.language.iso | en | en_US |
| dc.publisher | Addis Ababa University | en_US |
| dc.subject | Addis Ababa University; Student Evaluation form Template Matching; Recognition; | en_US |
| dc.title | Design and Implementation of Automatic Student Evaluation form Processing System Using Image Analysis Techniques | en_US |
| dc.type | Thesis | en_US |