Fig 1.
The image segmentation using Canny.
Fig 2.
Applying contour on faces (src: http://styletips101.com/wp-content/uploads/2009/04/face-sculpting.jpg).
Fig 3.
Flow chart for the geometric active contours model.
Table 1.
The efficiency of face detection and tracking by different methods.
Fig 4.
Comparison of various detection methods and time delay (ms).
Fig 5.
Flow chart for edge detection using connected components operator.
Table 2.
Comparison of various face recognition algorithms.
Fig 6.
a. Comparison of various Face recognition algorithms vs Detection Probabilities. b. Comparison of various Face recognition algorithms vs Time delay (ms).
Fig 7.
(a) The development of Comparison Chart (eq-5). (b). The Mechanism of Edge Matching and Translation (Eq 6).
Fig 8.
The proposed pixel-matching algorithm process.
Fig 9.
Findings of the photographer recognizing images by the evaluated techniques at various degrees of noise.
(a) Experimental Image (b) Detection of algorithm with traditional methods (c) Existing methods results [28] (d) Proposed Algorithm.
Fig 10.
The MSE analysis with different algorithms
Fig 11.
The SNR analysis with different algorithms.
Fig 12.
The similarity index analysis with different algorithms.
Table 3.
The MSE analysis with different algorithms.
Table 4.
The SNR analysis with different algorithms.
Table 5.
The SIM analysis with different algorithms.