NDLI: Assessment of the effect of variations in Eye Blinks on a face recognition algorithm

Content Provider	IEEE Xplore Digital Library
Author	Shankar, S.
Copyright Year	2015
Description	Author affiliation: Dept. of Electron. & Commun. Eng., KLE Dr. M. S. Sheshgiri CET, Belgaum, India (Shankar, S.)
Abstract	Currently face recognition has reached a certain degree of maturity when operating under constrained environments. When it comes to real time situations, the system degrades sharply in handling variations like illumination, occlusions, skin tone, cosmetics, image misalignment, age, pose, etc., inherent in the face images acquired. Hence understanding and eliminating the effects of each of these factors is crucial to any face recognition system. This paper deals with studying the effect of variances in the Eye Blink Strengths (EBS) on a face image undergoing face recognition, thereby testing the efficiency of face recognition algorithm. The study makes exclusive usage of Brain Computer Interface (BCI) technology to detect eye blinks and to measure their corresponding EBS values using Electroencephalograph (EEG) device. The face recognition algorithm under test was the amalgamation of Principal Component Analysis (PCA), Local Binary Pattern (LBP) based feature extraction and Support Vector Machine (SVM) based classification. EBS is assessed using an inexpensive, portable, non-invasive EEG device. The efficiency of the face recognition algorithm to withstand the eye blinks with varying degree of EBS values for the given face images was determined. It was found that the proposed methodology of test case generation can be effectively be used to evaluate various other face recognition algorithms against varying eye blinks.
Starting Page	371
Ending Page	376
File Size	1306349
Page Count	6
File Format	PDF
e-ISBN	9781479980475
DOI	10.1109/IADCC.2015.7154733
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-06-12
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Support vector machines Algorithm design and analysis Accuracy Face recognition EEG Feature extraction Electroencephalography SVM LBP Face Eye Blink Strength PCA
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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