Efficient Iris Recognition Based on Optimal Subfeature Selection and Weighted Subregion Fusion

<table class="table-group" width="800px"><tr class="fig-image" id="a"><td><img alt="157173.fig.004a" src="https://static.hindawi.com/articles/tswj/volume-2014/157173/figures/157173.fig.004a.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(a) </b>Image gradients</td></tr></table></td></tr><tr class="fig-image" id="b"><td><img alt="157173.fig.004b" src="https://static.hindawi.com/articles/tswj/volume-2014/157173/figures/157173.fig.004b.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(b) </b>Keypoint descriptor</td></tr></table></td></tr></table>

<table>(a) Scale and direction of orientation is indicated by arrow in white color; (b) 3D magnitude representation of detected keypoints from annular iris area.</table>

The Scientific World Journal

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Figure 4

Figure 4: Efficient Iris Recognition Based on Optimal Subfeature Selection and Weighted Subregion Fusion 