In this paper

we introduce an effective algorithm based on blocks (BoB) for eye location. The image is partitioned to blocks by a threshold. Based on the comparability between two eyes and the uniqueness of a pair of eyes

it can locate eyes after matching each two blocks. Due to what we use are the location and the comparability between two eyes and eyes are considered in pairs

the algorithm could work on rotated images and get higher detection rate. What’s more

it can deal with moderate illumination and expression changes. Experiments on a number of face images have shown that our algorithm is reliable and fast.