Advanced Modern Engineering Mathematics by G. James

By G. James

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Otsu method of Binarization and Thresholding. html. Accessed 26 Jan 2014 12. Flood Fill or Flood Seed. org/wiki/Flood_fill. Accessed 26 Jan 2014 Feature Selection using Particle Swarm Optimization for Thermal Face Recognition Ayan Seal, Suranjan Ganguly, Debotosh Bhattacharjee, Mita Nasipuri and Consuelo Gonzalo-Martin Abstract This paper presents an algorithm for feature selection based on particle swarm optimization (PSO) for thermal face recognition. The total algorithm goes through many steps.

Mach. Intell. 15(11), 1148–1161 (1993) 3. : The importance of being random: statistical principles of iris recognition. Pattern Recognit. 36(2), 279–291 (2003) 4. : Uncertainty relation for resolution in space, spatial frequency, and orientation optimized by two-dimensional visual cortical filters. J. Opt. Soc. Am. A Opt. Image Sci. 2(7), 1160–1169 (1985) 5. : Biometric personal identification system based on iris analysis. US Patent Number 5, 291, 560, 1 Mar 1994 6. : Iris recognition: an emerging biometric technology.

Different pose changes about x-axis, y-axis, and z-axis are also 32 A. Seal et al. 15, wmax=1 gbest pbest28 pbest25 pbest22 pbest19 pbest16 pbest13 pbest7 pbest10 pbest4 pbest1 0 Fig. 2 The different values of ‘pbest’ and ‘gbest’ with different parameters of PSO for frontal faces considered. Resolution of each image is 320 9 240, and the images are saved in JPEG format. First, all are processed and restored missing information using GPCA scale to 256 9 256 resolution for further processing. Then, SIFT is used to extract some points.

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