A Novel Algorithm to Classify Hand Drawn Sketches with Respect to Content Quality

摘要

In this paper, the methodology of a novel algorithm called Counting Key-Points algorithm (CKP) is presented. The algorithm can be used during classification of same type of hand drawn sketches, where content quality is important. In brief, the algorithm uses reference pictures set to form vocabulary of key points (with descriptors) and counting how many times those key points appeared on other images, to decide the image content quality. CKP was tested on Draw-a-Person test images, drawn by primary school students, and reached 65% of classification accuracy. The results of the experiment show that the method is applicable and can be improved with further researches. The classification accuracy of CKP was compared to other state-of-art hand drawn image classification methods, to show superiority of the algorithm. As the dataset needs further studies to improve the prediction accuracy, it would be released to the community.