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Design of RBFNNs Pattern Classifier Realized with the Aid of Face Features Detection
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 Title & Authors
Design of RBFNNs Pattern Classifier Realized with the Aid of Face Features Detection
Park, Chan-Jun; Kim, Sun-Hwan; Oh, Sung-Kwun; Kim, Jin-Yul;
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In this study, we propose a method for effectively detecting and recognizing the face in image using RBFNNs pattern classifier and HCbCr-based skin color feature. Skin color detection is computationally rapid and is robust to pattern variation for face detection, however, the objects with similar colors can be mistakenly detected as face. Thus, in order to enhance the accuracy of the skin detection, we take into consideration the combination of the H and CbCr components jointly obtained from both HSI and YCbCr color space. Then, the exact location of the face is found from the candidate region of skin color by detecting the eyes through the Haar-like feature. Finally, the face recognition is performed by using the proposed FCM-based RBFNNs pattern classifier. We show the results as well as computer simulation experiments carried out by using the image database of Cambridge ICPR.
Skin Color;RBFNNs pattern classifier;HSI;YCbCr;HCbCr;
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LIBS 분광기를 이용한 폐소형가전 플라스틱 패턴 분류기의 설계,박상범;배종수;오성권;김현기;

한국지능시스템학회논문지, 2016. vol.26. 6, pp.477-484 crossref(new window)
Design of Pattern Classifier for Electrical and Electronic Waste Plastic Devices Using LIBS Spectrometer, Journal of Korean Institute of Intelligent Systems, 2016, 26, 6, 477  crossref(new windwow)
S. K. Oh, W. D. Kim, and W. Pedrycz, "Fuzzy Radial Basis Function Neural Networks with information granulation and its parallel genetic optimization." Fuzzy Sets and Systems, Vol 237, pp 96-117, February 2014 crossref(new window)

Cambridge ICPR Head Pose Image Database :

Yongjin Baek, "Face Detection Using Skin Color And Head Model And Face Recognition", Ph. D. Dissertation, Pusan National University, Pusan, 2005.

Hyein Kim and sekrim Choi, "Face Detection Using The New Color Component be fit to skin color", Korean Institute of Communications and Information Sciences, 5b-95, P347-350, 2004.

Hjelmas, E., & Low, B. K. (2001). Face detection: A survey. Computer vision and image understanding, 83(3), 236-274. crossref(new window)

Chai, D, & Ngan, K. N. (1999). Face segmentation using skincolor map in videophone applications. Circuits and Systems for Video Technology, IEEE Transactions on, 9(4), 551-564. crossref(new window)

S. K. Oh, W. Pedrycz, B. J. Park, "Polynomial-based Radial Basis Function Neural Net works realized with the Aid of Particle Swarm Optimization," Fuzzy Sets and Systems, Vol. 163, pp. 54-77, 2011. crossref(new window)

Roh, S. B., Joo, S. C., Pedrycz, W., & Oh, S. K. (2010). The development of fuzzy radial basis function neural networks based on the concept of information ambiguity. Neurocomputing, 73(13), 2464-2477. crossref(new window)

S. C. Lee, S, K. Oh and H. K. Kim, "Design of PCA-based pRBFNNs Pattern Classifier for Digit Recognition," Korea Institute of intelligent systems, vol. 25, no. 4, pp. 355-360, 2015. crossref(new window)

S. K. Oh, S. H. Oh, H. K. Kim, "Design of Three-dimensional Face Recognition System Using Optimized PRBFNNs and PCA : Comparative Analysis of Evolutionary Algorithms", Korea Institute of intelligent systems, vol. 23, no. 6, pp. 539-544, 2013. crossref(new window)

T. H. Kim, G. S. Kim, Y. C. Song, G. S. Ryu, B. J. Choi, K. H. Park, "A Color-Based Medicine Bottle Classification Method Robust to Illumination Variations", Korea Institute of intelligent systems, vol. 23, no. 1, pp. 57-64, 2013. crossref(new window)