A Rock Cracks Dynamic Recognition Algorithm Based on Fingerprint

Ling Ling Xiao; Yan Ting Liu

doi:10.4028/www.scientific.net/AMR.466-467.176

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 466-467A Rock Cracks Dynamic Recognition Algorithm Based...

A Rock Cracks Dynamic Recognition Algorithm Based on Fingerprint

Abstract:

Traditional detection technology of rock cracks in mine is asking somebody to go deep into the mine and detect them. This method doesn’t only waste so much labor force, but also lose timeliness. It will bring amount of risk to the workers and the results will contain subjectivity. As complex texture of rock is similar to the fingerprint, we give a rock fracture recognition algorithm based on fingerprint. In this paper, the fingerprint recognition algorithm is introduced into the rock texture recognition, and to be improved by us. We demonstrate the algorithm is feasibility with experiments.

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Periodical:

Advanced Materials Research (Volumes 466-467)

Pages:

176-180

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.466-467.176

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Online since:

February 2012

Authors:

Ling Ling Xiao, Yan Ting Liu

Keywords:

Crack, Fingerprint, Image Processing, Recognition, Rock Mass

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References

[1] Feng Zengchao, Zhao Yangsheng, Wen Zaiming, et al. Study on 3D fractal distribution law of the surface number in rock mass[J]. Chinese Journal of Rock Mechanics and Engineering . 2005, 24(4): 601-609. (in chinese).

Google Scholar

[2] Ying Lan. et al. Measurement and analysis of crack feature of concrete based on digital image processing techniques[D], Jiangshu: Southeast University, (2006).

Google Scholar

[3] Rafael C. Gonzalez and Richard E. Woods. Digital Image Processing[M]. Publishing House Of Electeonics Industry, 2007. 8.

Google Scholar

[4] Junchang Liao and Yubo Li, Fingerprint binarization and thinning of the DSP implementation, May, 2004, pp.46-48.

Google Scholar

[5] Yelin Wang, Xinbao Ning and Yilong YinA. Study on the Fingerprint Image Thinning Algorithm, , 4rd ed., vol. 39., 2003, p.468–475.

Google Scholar

[6] Luo Xiping, Tian jie, A Minutia Matching algorithm in Fingerprint Verification, Proceeding of the 15th. International Conference on PatternRecognition,V. 4, P833-836, (2000).

DOI: 10.1109/icpr.2000.903046

Google Scholar

[7] Luo Xiping, Tian Jie. et al. Image Enhancement and Minutia Matching in Fingerprin Verification.

Google Scholar

[8] Fu Jinguang, Xu Gang, Wang Yuguo, et al. Fingerprints Matching Based On Distribution of Minutiae's Direction[J]. Journal of Computer Engineering , 2003, 29(19): 17-19. (in chinese).

Google Scholar