To detect and track eye images, distinctive features of user eye are used. Generally, an eye-tracking and detection system can be divided into four steps: Face detection, eye region detection, pupil detection and eye tracking. To find the position of pupil, first, face region must be separated from the rest of the image using mixture of Gaussian, this will cause the images background to be non ...

Eye detection is important for finding locations of the face landmarks such as nose, ear and mouth on the face. Template matching and normalized cross correlation techniques are used for eye detection. The template matching is better than appearance and feature based method for eye detection in terms of accuracy. The experiment is performed on chufs database of face image for detection of eyes....

Eye detection plays an important role in face recognition because eyes provide distinctive facial features. However, illumination effects such as heavy shadows and drastic lighting change make it difficult to detect eyes well in facial images. In this paper, we propose a novel framework for illumination invariant eye detection under varying lighting conditions. First, we use adaptive candidate ...

This paper describes a robust face recognition algorithm using multiple candidate eye positions to improve recognition. Face recognition systems consist of four major stages. They are face detection, eye detection, face normalisation and face recognition. Most recognition schemes (eg. PCA) assume accurate knowledge of eye positions. By using multiple candidate eye positions, inaccuracies in eye...

In this article, we develop a real-time mobile phone-based gaze tracking and eye-blink detection system on Android platform. Our eye-blink detection scheme is developed based on the time difference between two open eye states. We develop our system by finding the greatest circle—pupil of an eye. So we combine the both Haar classifier and Normalized Summation of Square of Difference template-mat...

The red eye artifacts are troublesome problem of consumer photos. Correction of red eyes without user intervention is an important task. The novel method of automatic detection of red eyes is proposed. This approach is based on application of color information via 3D tables and edge information via directional edge detection filters. For classification a cascade of classifiers including AdaBoos...

Dry Eye Syndrome is a common disease in the western world, with effects from uncomfortable itchiness to permanent damage to the ocular surface. Nevertheless, there is still no objective test that provides reliable results. We have developed a new method for the automated detection of dry areas in videos taken after instilling fluorescein in the tear film. The method consists of a multi-step alg...

Nowadays, people spend more time in front of electronic screens like computers, laptops, TV screens, mobile phones or tablets which cause eye blink frequency to decrease. Each blink spreads the tears on the eye cornea to moisture and disinfect the eye. Reduced blink rate causes eye redness and dryness also known as Dry Eye, which belongs to the major symptoms of the Computer Vision Syndrome. Th...