An Accurate and Simple Approach to Detect Eye Centers in Low Resolution Face Images

Laddi, Amit and Prakash, N.R. (2017) An Accurate and Simple Approach to Detect Eye Centers in Low Resolution Face Images. IETE Journal of Research, 64 (5). pp. 596-601. ISSN 0974780X, 03772063

Full text not available from this repository.
Official URL:


This paper introduces a new approach for accurate eye center localization based upon optimized image gradients algorithm. The proposed approach requires pre-fetched feature descriptors to detect the accurate iris centers amongst the possible eye center candidates computed by image gradients over the face image data-set. The results of the proposed algorithm for detecting eye, iris, and iris centers over the test set images of publicly available low resolution and challenging data-set show an accuracy percentage of 98.9, 95.7, and 89.2, respectively. The comparison results obtained by the proposed approach were at par with the state-of-the-art techniques involving complex calculations and training requirements. So, the superior performance and outcome of the proposed approach show the usefulness of optimizing the results of simple image gradients by pre-fetched Scale Invariant Feature Transform feature descriptors in detecting iris centers under unconstrained environments. The proposed approach may be useful for the development of real-time eye gaze tracking application with improved robustness and accuracy.

Item Type: Article
Uncontrolled Keywords: Eye gaze; Feature descriptors; Image gradients; Iris centers
Subjects: CSIO
CSIO > Chemistry
CSIO > Medical Instrumentation
Divisions: Medical Instrumentation
Depositing User: Ms T Kaur
Date Deposited: 28 Feb 2019 15:52
Last Modified: 28 Feb 2019 15:52

Actions (login required)

View Item View Item