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1887

access icon free Efficient algorithms for detection of face, eye and eye state

© The Institution of Engineering and Technology
Received 06/05/2011, Accepted 24/01/2013, Revised 24/01/2013, Published

Eye state analysis (open or closed) is an important step in fatigue detection. In this study, an efficient algorithm for eye state detection is proposed. At first, a new face detection method is presented for noisy images that finds the face area in the input image well. Then, novel algorithms for detection of eye region and eye state are introduced. The performance of the proposed method is evaluated on four different databases namely FERET, Aberdeen, IMM and CVL which contain more than 5700 images with different descents, positions, light conditions and glasses. The results show that the new method achieves more accuracy rate than the previously presented algorithms, while it does not need training data and is also computationally efficient.

Inspec keywords: eye; face recognition

Other keywords: light conditions; eye state analysis; positions; glasses; eye state detection; fatigue detection; descents; CVL database; FERET database; noisy images; eye region detection; face detection method; Aberdeen database; IMM database

Subjects: Computer vision and image processing techniques; Image recognition

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