Blog > Handling Lighting Variations

One of the challenge faced by Iris recognition software algorithm is handling of the large variations in illumination (image uniformity issues) across an iris image and variation in illumination between the gallery (enrollment/reference) image and the probe (recognition/verification) images. As you can see in above example, these 2 images have vast variation in illumination levels. The good iris recognition algorithms can dynamically compensate for variation in lighting conditions within an image as well as across multiple images. Above is an example showing how our Iris Recognition SDK handles 2 images with large variation in image illumination levels. As you can see, the image on the right side has less than ideal image brightness and also has large variation in brightness from left to right. In this example, our Iris Recognition SDK algorithm was able to achieve high degree match confidence despite the image on the right being under illuminated and non-uniform brightness from left to right.

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August 15, 2015

Nithin Kumar

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