The Application of Decision Tree in Gender Classification
Peng Ying Du, Ding Xiaoqing · 2008
This paper presents a method based on decision tree classifier to identify the gender of a person. Considering that the feature of gender may be related to the feature of ethnicity, the tree is designed to decide ethnicity first and decide gender with its corresponding ethnicity. The method is implemented in a system that mainly consists of three parts, face detection, feature extraction and gender classification with a decision tree. Comparative study on the effects of tree classifier and an ordinary classifier that does not implement a decision tree is reported on a data set of 1928 face images. The result shows that the performance of tree classifier is superior to the ordinary classifier.