|Table of Contents|

A CNN-based Approach to Footprint Image Retrieval and Matching(PDF)

南京师范大学学报（工程技术版）[ISSN:1006-6977/CN:61-1281/TN]

Issue:
2018年03期
Page:
39-
Research Field:
人工智能算法与应用专栏
Publishing date:

Info

Title:
A CNN-based Approach to Footprint Image Retrieval and Matching
Author(s):
Chen Yang1; 2; Zeng Cheng3; Cheng Cheng1; Zou Encen1; Gu Jianwei1; 2; Lu You1; Xi Xuefeng1; 2
(1.School of Electronic and Information Engineering,Suzhou University of Science and Technology,Suzhou 215009,China)(2.Suzhou Key Laboratory of Virtual Reality and Intelligent Interaction,Suzhou University of Science and Technology,Suzhou 215009,China)(3.Command Center of Kunshan Public Security Bureau,Suzhou 215300,China)
Keywords:
deep learning; convolutional neural network; footprint searching; image processing
PACS:
TP183
DOI:
10.3969/j.issn.1672-1292.2018.03.006
Abstract:
Footprint images,as one of the important evidences of crime scenes,can’t be ignored in the cracking of serial cases. Traditional footprint comparison and retrieval require a lot of time and manpower,greatly affecting the progress of the case. Convolutional Neural Network(CNN)has shown good results in image recognition and retrieval. In order to meet the actual needs of public security footprint image retrieval,this paper proposes an approach to footprint image retrievaling and matching based on convolutional neural network,and sets different search areas for search results to meet different business requirements. Preliminary experiments show that the proposed approach is effective and practical.

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Last Update: 2018-09-30