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2017 | OriginalPaper | Chapter

An Automatic Shoeprint Retrieval Method Using Neural Codes for Commercial Shoeprint Scanners

Authors : Junjian Cui, Xiaorui Zhao, Daixi Li

Published in: Computer Vision

Publisher: Springer Singapore

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Abstract

In this paper, an automatic shoeprint retrieval method used in forensic science is proposed. The proposed method extracts shoeprint features using recently reported descriptor called neural code. The first step of feature extraction is rotation compensation. Then, shoeprint image is divided into top region and bottom region, and two neural codes for both regions are obtained. Afterwards, a matching score between test image and reference image is calculated. The matching score is a weighted sum of cosine similarities of both regions’ neural codes. Experimental results show that our method outperforms other methods on a large-scale database captured by commercial shoeprint scanners. By using PCA, the performance can be improved while the feature dimension is reduced dramatically. To our knowledge, this is the first study using the database collected by commercial shoeprint scanners, and our method obtained a cumulative match score of 88.7% at top 10.

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Literature
1.
2.
3.
4.
5.
Abdel-Kader, R.F., Ramadan, R.M., Zaki, F.W., El-Sayed, E.: Rotation-invariant pattern recognition approach using extracted descriptive symmetrical patterns. Int. J. Adv. Comput. Sci. Appl. 3(5), 151–158 (2012)
6.
Babenko, A., Slesarev, A., Chigorin, A., Lempitsky, V.: Neural codes for image retrieval. In: Proceedings of ECCV, pp. 584–599 (2014)
7.
Bodziak, W.J.: Footwear Impression Evidence: Detection. Recovery and Examination. CRC Press, Boca Raton (2000)
8.
Bouridane, A., Alexander, A., Nibouche, M., Crookes, D.: Application of fractals to the detection and classification of shoeprints. In: Proceedings of IEEE International Conference on Image Processing, pp. 474–477 (2000)
9.
Canny, J.: A computational approach to edge detection. IEEE Trans. Pattern Anal. Mach. Intell. 8(6), 679–698 (1986)CrossRef
10.
Chazal, P.D., Flynn, J., Reilly, R.: Automated processing of shoeprint images based on the Fourier transform for use in forensic science. IEEE Trans. Pattern Anal. Mach. Intell. 27(3), 341–350 (2005)CrossRef
11.
Girod, A.: Computer classification of the shoeprint of burglar soles. Forensic Sci. Int. 82, 59–65 (1996)CrossRef
12.
He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, pp. 770–778 (2016)
13.
Patil, P., Kulkarni, J.: Rotation and intensity invariant shoeprint matching using gabor transform with application to forensic science. Pattern Recogn. 42(7), 1308–1317 (2009)CrossRef
14.
Pavlou, M., Allinson, N.: Automated encoding of footwear patterns for fast indexing. Image Vis. Comput. 27, 402–409 (2009)CrossRef
15.
Simonyan, K., Zisserman, A.: Very deep convolutional networks for large-scale image recognition. In: Proceedings of International Conference on Learning Representations (2015)
16.
Wang, X., Sun, H., Yu, Q., Zhang, C.: Automatic shoeprint retrieval algorithm for real crime scenes. In: Proceedings of ACCV, pp. 399–413 (2014)
17.
Zhang, L., Allinson, N.: Automatic shoeprint retrieval system for use in forensic investigations. In: UK Workshop on Computational Intelligence (2005)
Metadata
Title
An Automatic Shoeprint Retrieval Method Using Neural Codes for Commercial Shoeprint Scanners
Authors
Junjian Cui
Xiaorui Zhao
Daixi Li
Copyright Year
2017
Publisher
Springer Singapore
Book
Computer Vision

Print ISBN: 978-981-10-7301-4

Electronic ISBN: 978-981-10-7302-1

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-981-10-7302-1_14

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