The Retrieval of Shoeprint Images Based on the Integral Histogram of the Gabor Transform Domain

摘要：

　　Shoeprint images which are extracted at the scene of cases are a kind of important modem forensic clue and evidence.Retrieving the images of the same or the similar shoeprint images from the database quickly and accurately is very important to criminal investigation.To deal with the fragmental shoeprint images, we propose a shoeprint images matching and retrieval algorithm which computing the integral histogram in the Gabor transform domain.First, through the integral histogram find out the most similar position of the fragmental image in the intact image.Then, extract the features of the region found in the first step.At last, compute the similarity of the two components.Experiment results prove that this algorithm leads an increase of 4.82% in the retrieval precision, compared with computing the global features of two images directly.

关键词： fragmental images Gabor filtering integral histogram image retrieval

作者: Xiangyang Li Minhua Wu Zhiping Shi

作者单位: Capital Normal University, College of Information Engineering, Beijing, China

会议类型: 国际会议

会议名称: 8th International Conference on Intelligent Information Processing(2014年IFIP智能信息处理国际会议)

会议地点: 杭州

会议语种:英文

页码: 249-258

在线出版日期: 2014-10-01（万方平台首次上网日期，不代表论文的发表时间）