| Author | Sharma, Rakshandha |
| Call Number | AIT Caps. Proj. no.EL-14-03 |
| Subject(s) | Image processing
|
| Note | A capstone project report submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Engineering in Electronics Engineering, School of Engineering and Technology |
| Publisher | Asian Institute of Technology |
| Series Statement | Caps. Proj. ; no. EL-14-03 |
| Abstract | The aim of this capstone project is to implement a face detection and recognition system using the Principal Component Analysis (PCA) algorithm. Based on the eigenface approach, PCA is one of the most widely used algorithms for face recognition. The system matches a test image to a database of stored images on the basis of Euclidean distance and Manhattan distance calculated in the program. Then the face is categorized as known or unknown. A comparison is drawn out between the Euclidean distance approach and the Manhattan distance approach. |
| Year | 2014 |
| Corresponding Series Added Entry | Asian Institute of Technology. Caps. Proj. ; no. EL-14-03 |
| Type | Project |
| School | School of Engineering and Technology |
| Department | Bachelor Degree |
| Academic Program/FoS | Electronic Engineering (EL) |
| Chairperson(s) | Attaphongse Taparugssanagorn; |
| Examination Committee(s) | Mongkol Ekpanyapong; |
| Degree | Capstone Project (B.Sc.)-Asian Institute of Technology, 2014 |