Quantifying the similarity of 2D images using edge pixels: an application to the forensic comparison of footwear impressions-Reference-Cited by-同舟云学术

Quantifying the similarity of 2D images using edge pixels: an application to the forensic comparison of footwear impressions

Published:2020-06-11 Issue:10 Volume:48 Page:1833-1860
ISSN:0266-4763
Container-title:Journal of Applied Statistics
language:en
Short-container-title:Journal of Applied Statistics

Author:

Park Soyoung¹^ORCID,Carriquiry Alicia¹

Affiliation:

1. Department of Statistics, Iowa State University, Ames, IA, USA

Funder

National Institute of Standards and Technology

Iowa State University

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/02664763.2020.1779194

Reference34 articles.

1. A novel technique for automatic shoeprint image retrieval

2. Automatic retrieval of shoeprint images using blocked sparse representation

3. W.J. Bodziak, Footwear impression evidence detection in Recovery and Examination, 2nd ed., CRC, Boca Raton, London, 2000.

4. A. Bouridane, A. Alexander, M. Nibouche, and D. Crookes, Application of fractals to the detection and classification of shoeprints, 2000 International Conference on Image Processing, Proceedings 2000, Vol. 1, IEEE, 2000, pp. 474–477.

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