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Eye detection in a face image using linear and nonlinear filters

โœ Scribed by Saad A. Sirohey; Azriel Rosenfeld

Publisher
Elsevier Science
Year
2001
Tongue
English
Weight
784 KB
Volume
34
Category
Article
ISSN
0031-3203

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โœฆ Synopsis

This paper describes two methods of eye detection in a face image. The face is "rst detected as a large #esh-colored region, and anthropometric data are then used to estimate the size and separation of the eyes. When a linear "ltering method, using "lters based on Gabor wavelets, was then applied to detect the eyes in the gray-level image of the face, the detection rate was good (80% on one dataset, 95% on another), but there were many false alarms. A nonlinear "ltering method was therefore developed to detect the corners of the eyes in the color image of the face. This method gave a 90% detection rate with no false alarms.

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