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- W2555550554 abstract "Eye Detection is a major phase in face detection or recognition, it is widely used in various applications. With the up trends of systems using face and eye detection in image processing in recent years this domain has gained much more attention in different fields like video conferencing, eye gaze tracking, etc. Eye detection is difficult due to various complications in human faces like eye balls are not just the circular part in face; it also has moles and dots which might be prominent. Aware of these issues, a novel method is proposed for automatic detection of eyes in frontal face images without spectacles. The method is based on the assumption that a full frontal image is available and a series of tests are carried out. The technique used is based on Circular Hough Transform which is applied on a frontal face image and is found to be highly accurate and effective for most of the images. The proposed technique is evaluated for different test cases and found to detect iris more effectively." @default.
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- W2555550554 date "2015-01-01" @default.
- W2555550554 modified "2023-09-27" @default.
- W2555550554 title "EYE DETECTION IN FRONTAL FACE IMAGES" @default.
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