Journal ArticleDOI
Automated human identification using ear imaging
Ajay Kumar,Chenye Wu +1 more
TLDR
This paper develops a computationally attractive and effective alternative to characterize the automatically segmented ear images using a pair of log-Gabor filters and presents a completely automated approach for the robust segmentation of curved region of interest using morphological operators and Fourier descriptors.About:
This article is published in Pattern Recognition.The article was published on 2012-03-01. It has received 256 citations till now. The article focuses on the topics: Feature extraction.read more
Citations
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Journal ArticleDOI
Ear biometrics: a survey of detection, feature extraction and recognition methods
Anika Pflug,Christoph Busch +1 more
TL;DR: This survey categorise and summarise approaches to ear detection and recognition in 2D and 3D images, and provides an outlook over possible future research in the field of ear recognition, in the context of smart surveillance and forensic image analysis, which the authors consider to be the most important application ofEar recognition characteristic in the near future.
Journal ArticleDOI
Ear recognition: More than a survey
TL;DR: An overview of the field of automatic ear recognition (from 2D images) and focuses specifically on the most recent, descriptor-based methods proposed in this area, as well as introducing a new, fully unconstrained dataset of ear images gathered from the web and a toolbox implementing several state-of-the-art techniques.
Proceedings Article
Ear Recognition: More Than a Survey
TL;DR: An overview of the field of automatic ear recognition from 2D images can be found in this article, where the most recent, descriptor-based methods proposed in this area are discussed and potential research directions are outlined.
Journal ArticleDOI
Comparative competitive coding for personal identification by using finger vein and finger dorsal texture fusion
TL;DR: A multimodal personal identification system that fuses finger vein and finger dorsal images at the feature level and compares the performance of the proposed fusion strategy with that of state-of-the-art unimodal biometrics is compared.
Journal ArticleDOI
Robust ear identification using sparse representation of local texture descriptors
Ajay Kumar,Tak-Shing T. Chan +1 more
TL;DR: This paper investigates a new approach for more accurate ear recognition and verification problem using the sparse representation of local gray-level orientations and presents experimental results from publically available UND and IITD ear databases which achieve significant improvement in the performance.
References
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Journal ArticleDOI
Relations between the statistics of natural images and the response properties of cortical cells.
TL;DR: The results obtained with six natural images suggest that the orientation and the spatial-frequency tuning of mammalian simple cells are well suited for coding the information in such images if the goal of the code is to convert higher-order redundancy into first- order redundancy.
Journal ArticleDOI
How iris recognition works
TL;DR: Algorithms developed by the author for recognizing persons by their iris patterns have now been tested in many field and laboratory trials, producing no false matches in several million comparison tests.
Proceedings ArticleDOI
How iris recognition works
TL;DR: Algorithms developed by the author for recognizing persons by their iris patterns have now been tested in many field and laboratory trials, producing no false matches in several million comparison tests.
Book
Biometrics: Personal Identification in Networked Society
TL;DR: This book covers the general principles and ideas of designing biometric-based systems and their underlying tradeoffs, and the exploration of some of the numerous privacy and security implications of biometrics.
Journal ArticleDOI
The importance of being random: statistical principles of iris recognition
TL;DR: The statistical variability that is the basis of iris recognition is analysed in this paper using new large databases, presenting the results of 9.1 million comparisons among several thousand eye images acquired in trials in Britain, the USA, Japan and Korea.
Related Papers (5)
Ear biometrics: a survey of detection, feature extraction and recognition methods
Anika Pflug,Christoph Busch +1 more