dc.contributor.authorTeoh, Geraldine Shi En
dc.description.abstractFacial feature recognition techniques that allow fast and efficient face detection have gained popularity in recent years. Based on the concepts of Viola-Jones robust real-time face detection, this project aims to find facial features that are able to determine if two individuals are related. In this project, images sets of related and unrelated individuals was collected. Facial features such as the nose and eyes were extracted from the image and used for analysis. Other facial features such as the ratios between facial landmarks were also used for analysis. Methods of comparison were used to determine the effectiveness of the facial features in differentiating related and unrelated individuals. In order to differentiate related and unrelated pairs, a threshold value had to be determined for each facial feature. Since not all facial features are equally effective, a weightage was allocated to each facial feature according to their effectiveness in differentiating related and unrelated individuals. The experimental results showed that using a combination of certain facial features with the appropriate threshold values and weightages, related and unrelated individuals were able to be differentiated most of the time. However, more extensive research should be done on a larger sample size to give more substantial results.en_US
dc.format.extent85 p.en_US
dc.rightsNanyang Technological University
dc.titleFacial feature comparison between biological relativesen_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorAnamitra Makuren_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.description.degreeBachelor of Engineeringen_US

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