A Name Recommendation Photo Album Using Probability Neural Network

摘要：

In this paper, we propose a name recommendation mechanism used in the photo albums. We apply a light compensation method to improve the image quality, and then a face detection algorithm is applied to detect the face region in each image. We adopt the modified probabilistic neural network (MPNN) to train the sample faces for each individuals photos. After training, the new adding face photos can be recognized and a name tag is recommended to this face. The experiments show a promising result for an accurate name tag annotation. The proposed method is very appropriate to provide a name recommendation function applied in photo album.

作者: Ding-Hrong Chen Shiang-En Tang

作者单位: Department of Computer Science and Information,Southern Taiwan University,TAIWAN

会议类型: 国际会议

会议名称: The Fifth International Conference on Information Assurance and Security(第五届信息保障与安全国际会议)

会议地点: 西安

会议语种:英文

页码: 379-382

在线出版日期: 2009-08-18（万方平台首次上网日期，不代表论文的发表时间）