Paper Info
Title
A Fast Eyelash Detection Algorithm Based on Morphological Operation
Abstract
Iris recognition is regarded as a promising biometric recognition technology. However, iris recognition schemes suffer from the interference from eyelashes. Intuitively, it is a crucial issue to detect the eyelash precisely in the preprocessing stage of iris recognition. In this paper, a novel eyelash detection algorithm in iris image based on morphological operation is proposed. Given an iris image, the effective search area of the eyelash is determined based on the position of the pupil; Then, morphological closing operation is performed on the effective search area of the eyelash and thereby a difference image is got. After that, the difference image is segmented by using an optimal threshold which is obtained by using maximum interclass variance method and thus candidate eyelash pixels are determined. Finally, based on the candidate eyelash pixels, a two-stage eyelash detection process is carried out to figure out the real eyelash pixels. Experimental results suggest that the proposed algorithm can achieve good effect of eyelash detection, and compared with the previous methods, the detection speed is greatly increased, it meets the requirements of speed and accuracy during the image preprocessing stage.
Year
DOI
Venue
2019
10.1109/CISP-BMEI48845.2019.8965795
2019 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)
Keywords
DocType
ISBN
biometrics recognition,iris recognition,iris image,eyelash detection,morphological operation
Conference
978-1-7281-4853-3
Citations 
PageRank 
References 
0
0.34
0
Authors
4
Name
Order
Citations
PageRank
Shuqin Gao100.34
Min Han276168.01
Deqiang Wang3135.18
Meng Wang4128.73