Eui Chul Lee

Prof. Eui Chul Lee

Sangmyung University, South Korea
orcid

Research Focus & Metrics

Academic Career Length

22Years (2005-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
24 February 2011 in Sensors
Verified
Journal Article
Open access
PDF file
ELEui Chul Lee
Eui Chul Lee
HJHyunwoo Jung
Hyunwoo Jung
DKDaeyeoul Kim
Daeyeoul Kim
In this paper, we propose a new finger biometric method. Infrared finger images are first captured, and then feature extraction is performed using a modified Gaussian high-pass filter through binarization, local binary pattern (LBP), and local derivative pattern (LDP) methods. Infrared finger images include the multimodal features of finger veins and finger geometries. Instead of extracting each feature using different methods, the modified Gaussian high-pass filter is fully convolved. Therefore, the extracted binary patterns of finger images include the multimodal features of veins and finger geometries. Experimental results show that the proposed method has an error rate of 0.13%.

1 July 2011 in Optics and Lasers in Engineering
Verified
Journal Article
Closed access
ELEui Chul Lee
Eui Chul Lee
KPKang Ryoung Park
Kang Ryoung Park

28 October 2010 in IEEE Transactions on Consumer Electronics
Verified
Journal Article
Closed access
ELEui Chul Lee
Eui Chul Lee
HHHwan Heo
Hwan Heo
KPKang Ryoung Park
Kang Ryoung Park
The problem of eyestrain caused by 3D display becomes a major topic of discussion. However, there has been no previous research to compare the eyestrain caused by 2D and 3D displays, objectively. In this study, we measured the frequency of blinking using a near-infrared pupil detection device to quantitatively compare the amount of eyestrain caused when watching the two types of displays, on the basis that more frequent blinking indicates greater eyestrain. Our research is novel in the following three ways. First, the eyestrain that occurs when watching 2D and 3D displays are quantitatively compared by using eye blink frequency. Second, the significances of two factors (kind of display, and the Z distance of watching display) and their interaction effect are calculated by using 2k factorial design analysis. Third, the correlation between objective tests based on blink frequency and subjective tests based on a survey is measured. The experimental results showed that the amount of eyestrain when watching a 3D display, especially at short viewing distances, was higher. High correlation between the quantitative results and subjective assessments collected using a questionnaire survey showed that blinking frequency is a reliable measure. Further, the developed pupil tracking device and blinking-rate-based measurement can be easily adapted to commercial glasses-based 3D display systems.

1 November 2010 in Journal of Neuroscience Methods
Verified
Journal Article
Closed access
WLWon Oh Lee
Won Oh Lee
ELEui Chul Lee
Eui Chul Lee
KPKang Ryoung Park
Kang Ryoung Park

1 May 2012 in Optics and Lasers in Engineering
Verified
Journal Article
Closed access
JLJi Woo Lee
Ji Woo Lee
CCChul Woo Cho
Chul Woo Cho
KSKwang Yong Shin
Kwang Yong Shin
ELEui Chul Lee
Eui Chul Lee
KPKang Ryoung Park
Kang Ryoung Park

1 July 2010 in Journal of Neuroscience Methods
Verified
Journal Article
Closed access
ELEui Chul Lee
Eui Chul Lee
JWJin Cheol Woo
Jin Cheol Woo
JKJong Hwa Kim
Jong Hwa Kim
MWMincheol Whang
Mincheol Whang
KPKang Ryoung Park
Kang Ryoung Park