Tire Imprint Identification and Classification using VGG19-Reference-Cited by-同舟云学术

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Tire Imprint Identification and Classification using VGG19

Published:2024 Issue: Volume: Page:73-94
ISSN:2367-3370
Container-title:Lecture Notes in Networks and Systems
language:en
Short-container-title:

Author:

Girish Disha N.,Priyanka M.

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-99-9704-6_7

Reference18 articles.

1. Da Wang S, Xiao JY, Liu ZQ, Niu JL (2008) Study on tire imprint image recognition based on FFT image differencing algorithm. In: 2008 fifth international conference on fuzzy systems and knowledge discovery, Oct 2008, vol 2. IEEE, pp 504–508

2. Yilmaz AG, Nabiyev N. Recognition of tire track patterns using SIFT and template matching. El-Cezeri 9(2):634–643

3. Huang DY, Hu WC, Wang YW, Chen CI, Cheng CH (2010) Recognition of tire tread patterns based on Gabor wavelets and support vector machine. In: Computational collective intelligence. Technologies and applications: second international conference, ICCCI 2010, Kaohsiung, Taiwan, 10–12 Nov 2010. Proceedings, Part III 2. Springer, Berlin Heidelberg, pp 92–101

4. Olazagoitia JL, Perez JA, Badea F (2020) Identification of tire model parameters with artificial neural networks. Appl Sci 10(24):9110

5. Jung SW, Bae SW, Park GT (1994) A design scheme for a hierarchical fuzzy pattern matching classifier and its application to the tire tread pattern recognition. Fuzzy Sets Syst 65(2–3):311–322

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