DocumentCode :
3682997
Title :
Investigation of Better Portable Graphics Compression for Iris Biometric Recognition
Author :
Heinz Hofbauer;Christian Rathgeb;Johannes Wagner;Andreas Uhl;Christoph Busch
Author_Institution :
Multimedia Signal Process. &
fYear :
2015
Firstpage :
1
Lastpage :
4
Abstract :
In this paper we present the very first study on the effectiveness of the recently proposed Better Portable Graphics (BPG) image compression algorithm in the context of iris recognition. Original and pre-processed iris images of the IITDv1 iris database are compressed at various reasonable bitrates and the impact of BPG on recognition accuracy is estimated in a bilateral and unilateral compression scenario. In experiments we found that, compared to well- established image compression standards recommended for biometric data interchange, JPEG and JPEG 2000, BPG generally reveals the least impact on the recognition accuracy of two conventional feature extraction techniques. In addition, we observe that iris segmentation is least affected when employing BPG compression. Consequentially, we identify BPG as an adequate choice for image compression in iris recognition.
Keywords :
"Image coding","Iris recognition","Transform coding","Image segmentation","Feature extraction","Accuracy","Standards"
Publisher :
ieee
Conference_Titel :
Biometrics Special Interest Group (BIOSIG), 2015 International Conference of the
Type :
conf
DOI :
10.1109/BIOSIG.2015.7314609
Filename :
7314609
Link To Document :
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