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2021 | OriginalPaper | Buchkapitel

Research of Biometric Characteristics of the Shape of the Ears Based on Multi-Coordinate Methods

verfasst von : Ruslan Motornyuk, Andrii Bilan, Stepan Bilan

Erschienen in: Biometric Identification Technologies Based on Modern Data Mining Methods

Verlag: Springer International Publishing

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Abstract

The chapter discusses modern methods of biometric identification of a person by the geometric shape of the ears. A method is proposed for analyzing the geometric shape of a person’s ear, which divides the image of the ear into regions and determines their area, and calculates the area of images belonging to the image of the ear and forms their references. The possible options for highlighting a separate image of the ear when scanning at a distance when other than the image ear itself contains images of hair and other neighboring parts of the human body are considered. The use of these methods requires the creation of a database with additional references for each person. For high quality identification, additional methods were used that are implemented on Radon projections. Software was developed that implements the method, which made it possible to carry out an experiment with databases obtained in random access from the Internet and formed by Esther Gonzalez. Experimental studies have shown high identification results for all used methods of preliminary processing of images and all simultaneously used methods of identification.

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Literatur
1.
Zurück zum Zitat Burge, M., & Burger, W. (1998). Ear biometrics. In A. Jain, R. Bolle, & S. Pankanti (Eds.), Biometrics: Personal identification in a networked society (pp. 273–286). New York: Kluwer Academic. Burge, M., & Burger, W. (1998). Ear biometrics. In A. Jain, R. Bolle, & S. Pankanti (Eds.), Biometrics: Personal identification in a networked society (pp. 273–286). New York: Kluwer Academic.
3.
Zurück zum Zitat Kumar, A. (2008). Incorporating cohort information for reliable palmprint authentication. In Sixth Indian Conference on Computer Vision, Graphics & Image Processing (pp. 583–590). Los Alamitos, CA: IEEE Computer Society. Kumar, A. (2008). Incorporating cohort information for reliable palmprint authentication. In Sixth Indian Conference on Computer Vision, Graphics & Image Processing (pp. 583–590). Los Alamitos, CA: IEEE Computer Society.
4.
Zurück zum Zitat Nejati, H., Zhang, L., Sim, T., Martinez-Marroquin, E., & Dong, G. (2012). Wonder ears: Identification of identical twins from ear images. In Proceedings of the international conference on pattern recognition (pp. 1201–1204). New York: IEEE. Nejati, H., Zhang, L., Sim, T., Martinez-Marroquin, E., & Dong, G. (2012). Wonder ears: Identification of identical twins from ear images. In Proceedings of the international conference on pattern recognition (pp. 1201–1204). New York: IEEE.
5.
Zurück zum Zitat Xu, X., Mu, Z., & Yuan, L. (2007). Feature-level fusion method based on KFDA for multimodal recognition fusing ear and profile face. In Proceedings of the international conference on wavelet analysis and pattern recognition (pp. 1306–1310). Piscataway, NJ: IEEE. Xu, X., Mu, Z., & Yuan, L. (2007). Feature-level fusion method based on KFDA for multimodal recognition fusing ear and profile face. In Proceedings of the international conference on wavelet analysis and pattern recognition (pp. 1306–1310). Piscataway, NJ: IEEE.
7.
Zurück zum Zitat Choraś, M. (2005). Ear biometrics based on geometrical feature extraction. Electronic Letters on Computer Vision and Image Analysis, 5(3), 84–95.CrossRef Choraś, M. (2005). Ear biometrics based on geometrical feature extraction. Electronic Letters on Computer Vision and Image Analysis, 5(3), 84–95.CrossRef
8.
Zurück zum Zitat Wahab, N. K. A., Hemayed, E. E., & Fayek, M. B. (2012). HEARD: An automatic human EAR detection technique. In International conference on engineering and technology (ICET). Piscataway, NJ: IEEE. Wahab, N. K. A., Hemayed, E. E., & Fayek, M. B. (2012). HEARD: An automatic human EAR detection technique. In International conference on engineering and technology (ICET). Piscataway, NJ: IEEE.
9.
Zurück zum Zitat Darmstadt, H. (2014). Effects of severe signal degradation on ear detection. In 2nd international workshop on biometrics and forensics (Vol. 1, pp. 0–5). Piscataway, NJ: IEEE. Darmstadt, H. (2014). Effects of severe signal degradation on ear detection. In 2nd international workshop on biometrics and forensics (Vol. 1, pp. 0–5). Piscataway, NJ: IEEE.
10.
Zurück zum Zitat Jiang, J., Zhang, H., Zhang, Q., Lu, J., Ma, Z., & Xu, K. (2014). Ear feature region detection based on a combined image segmentation algorithm-KRM. Proceedings of SPIE - The International Society for Optical Engineering, 8942, 89420Z–89420Z–8. Jiang, J., Zhang, H., Zhang, Q., Lu, J., Ma, Z., & Xu, K. (2014). Ear feature region detection based on a combined image segmentation algorithm-KRM. Proceedings of SPIE - The International Society for Optical Engineering, 8942, 89420Z–89420Z–8.
11.
Zurück zum Zitat Bilan, S., Motornyuk, R., & Bilan, S. (2014). Method of hardware selection of characteristic features based on radon transformation and not sensitive to rotation, shifting and scale of the input images. Advances in Image and Video Processing, 2(4), 12–23.CrossRef Bilan, S., Motornyuk, R., & Bilan, S. (2014). Method of hardware selection of characteristic features based on radon transformation and not sensitive to rotation, shifting and scale of the input images. Advances in Image and Video Processing, 2(4), 12–23.CrossRef
12.
Zurück zum Zitat Belan, S. N., & Motornyuk, R. L. (2013). Extraction of characteristic features of images with the help of the radon transform and its hardware implementation in terms of cellular automata. Cybernetics and Systems Analysis., 49(1), 7–14.CrossRef Belan, S. N., & Motornyuk, R. L. (2013). Extraction of characteristic features of images with the help of the radon transform and its hardware implementation in terms of cellular automata. Cybernetics and Systems Analysis., 49(1), 7–14.CrossRef
13.
Zurück zum Zitat Motornyuk, R.L. (2013). Computer-aided methods for identifying images of moving objects based on cellular automata with a hexagonal coating. Dissertation for the degree of candidate of technical sciences (UDC 004.932: 519.713 (043.3)), Kiev: SUIT, 2013. Motornyuk, R.L. (2013). Computer-aided methods for identifying images of moving objects based on cellular automata with a hexagonal coating. Dissertation for the degree of candidate of technical sciences (UDC 004.932: 519.713 (043.3)), Kiev: SUIT, 2013.
14.
Zurück zum Zitat Wolfram, S. (2002). A new kind of science/Wolfram Media. Wolfram, S. (2002). A new kind of science/Wolfram Media.
15.
Zurück zum Zitat Bilan, S. (2017). Formation methods, models, and hardware implementation of pseudorandom number generators: Emerging research and opportunities. Hershey, PA: IGI Global. Bilan, S. (2017). Formation methods, models, and hardware implementation of pseudorandom number generators: Emerging research and opportunities. Hershey, PA: IGI Global.
Metadaten
Titel
Research of Biometric Characteristics of the Shape of the Ears Based on Multi-Coordinate Methods
verfasst von
Ruslan Motornyuk
Andrii Bilan
Stepan Bilan
Copyright-Jahr
2021
DOI
https://doi.org/10.1007/978-3-030-48378-4_12

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