Abstract
In this paper, several configurations for a hybrid face/ear recognition system are investigated. The system is based on IFS (Iterated Function Systems) theory that are applied on both face and ear resulting in a bimodal architecture. One advantage is that the information used for the indexing and recognition task of face/ear can be made local, and this makes the method more robust to possible occlusions. The amount of information provided by each component of the face and the ear image has been assessed, first independently and then jointly. At last, results underline that the system significantly outperforms the existing approaches in the state of the art.
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References
Chang, K., Bowyer, K.W., Sarkar, S., Victor, B.: Comparison and Combination of Ear and Face Images in Appearance-Based Biometrics. IEEE Transactions on Pattern Analysis and Machine Intelligence 25(9), 1160–1165 (2003)
Jain, A.K., Murty, M.N., Flynn, P.J.: Data Clustering: A Review. CM Computing Surveys, 264–323 (1999)
Lawrence, S., Giles, C.L., Tsoi, A.C., Back, A.D.: Face recognition: A convolutional neural-network approach. IEEE Transactions on Neural Networks, 98–113 (1997)
Phillips, P.J., Moon, H., Rizvi, S., Rauss, P.: The FERET evaluation methodology for facerecognition algorithms. IEEE Transaction on Pattern Analysis and Machine Intelligence 22(10), 1090–1104 (2000)
Phillips, P.J., Moon, H., Rizvi, S., Rauss, P.: The FERET database and evaluation procedure for face-recognition algorithms. Transaction on Image and Vision Computing 16, 295–306 (1998)
Riccio, D., Nappi, M.: A Range/Domain Approximation Error Based Approach for Fractal Image Compression. IEEE Transaction on Image Processing 15(1), 89–96 (2006)
Riccio, D., Nappi, M.: Occluded Face Recognition by means of the IFS. In: Proceedings of the 12th International Conference on Image Analysis and Recognition, September 2003, pp. 1073–1080 (2003)
Savvides, M., Vijaya Kumar, B.V.K.: Efficient Design of Advanced Correlation Filters for Robust Distortion-Tolerant Face Recognition. In: Proceedings of the IEEE Conference on Advanced Video and Signal Based Surveillance (AVSS 2003), pp. 45–52 (July 2003)
Zhao, W., Chellapa, R., Phillips, P.J., RosenFeld, A.: Face Recognition: A Literature Survey. ACM Computing Surveys 35(4), 399–458 (2003)
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© 2006 Springer-Verlag Berlin Heidelberg
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Abate, A.F., Nappi, M., Riccio, D. (2006). Face and Ear: A Bimodal Identification System. In: Campilho, A., Kamel, M. (eds) Image Analysis and Recognition. ICIAR 2006. Lecture Notes in Computer Science, vol 4142. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11867661_27
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DOI: https://doi.org/10.1007/11867661_27
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-44894-5
Online ISBN: 978-3-540-44896-9
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