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23rd International Conference on Pattern Recognition (ICPR)

作者： Ahmed, Nasir Udin Cvetkovic, Slobodan Siddiqi, Erfanul Hoque Nikiforov, Andrey Nikiforov, Ilia TigerIT Dhaka Bangladesh

ISBN: (纸本)9781509048472

This paper describes iris biometric matching performed using the iris pictures captured by the standard visible spectrum smart phone cameras from the MICHE II database. Our method uses a combination of a popular iris code approach and a periocular biometric based on the Multi-Block Transitional Local Binary Patterns. The authentication scores are calculated separately, and the results are combined to improve the system performance.

关键词： noisy iris recognition visible spectrum iris code local binary pattern multimodal biometrics score level fusion

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Secure mobile internet voting system using biometric authentication and wavelet based AES

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JOURNAL OF INFORMATION SECURITY AND APPLICATIONS 2021年 61卷

作者： Ajish, S. Kumar, K. S. Anil Univ Kerala Res Ctr Dept Future Studies Kariyavattom Campus Thiruvananthapuram Kerala India KSMB Coll Kollam Kerala India

The number of mobile phone users increases daily, and mobile devices are used for various applications like banking, e-commerce, social media, internet voting, e-mails, etc. This paper presents a secure mobile internet voting system in which a biometric method authenticates the voter. The biometric image can either be encrypted at the mobile device and send to the server or process the biometric image at the mobile device to generate the biometric template and send it to the server. The implementation of biometrics on mobile devices usually requires simplifying the algorithm to adapt to the relatively small CPU processing power and battery charge. This paper proposes a wavelet-based AES algorithm to speed up the encryption process and reduce the mobile device's CPU utilization. The experimental analysis of three methods(AES encryption, wavelet-based AES encryption, and biometric template generation) exhibits that wavelet-based AES encryption is much better than AES encryption and template generation. The security analysis of three methods shows that AES and wavelet-based AES encryption provides better security than the biometric template's protection. The study of the proposed internet voting system shows that biometric authentication defeats almost all the mobile-based threats.

关键词： Internet voting Fingerprint template iris code AES encryption Wavelet based AES encryption

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Optimal Generation of iris codes for iris Recognition

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IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY 2017年第1期12卷 157-171页

作者： Hu, Yang Sirlantzis, Konstantinos Howells, Gareth Univ Kent Sch Engn & Digital Arts Canterbury CT2 7NT Kent England

The calculation of binary iris codes from feature values (e.g., the result of Gabor transform) is a key step in iris recognition systems. Traditional binarization method based on the sign of feature values has achieved very promising performance. However, currently, little research focuses on a deeper insight into this binarization method to produce iris codes. In this paper, we illustrate the iris code calculation from the perspective of optimization. We demonstrate that the traditional iris code is the solution of an optimization problem, which minimizes the distance between the feature values and the iris codes. Furthermore, we show that more effective iris codes can be obtained by adding terms to the objective function of this optimization problem. We investigate two additional objective terms. The first objective term exploits the spatial relationships of the bits in different positions of an iris code. The second objective term mitigates the influence of less reliable bits in iris codes. The two objective terms can be applied to the optimization problem individually, or in a combined scheme. We conduct experiments on four benchmark datasets with varying image quality. The experimental results demonstrate that the iris code produced by solving the optimization problem with the two additional objective terms achieves a generally improved performance in comparison to the traditional iris code calculated by binarizing feature values based on their signs.

关键词： iris recognition iris code spatial relationship feature reliability

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Part based bit error analysis of iris codes

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PATTERN RECOGNITION 2016年 60卷 306-317页

作者： Tomeo-Reyes, I. Chandran, V. Queensland Univ Technol 2 George St Brisbane Qld Australia

In order to effectively use iris patterns in biometric recognition, there is value in knowing how bit errors in iris codes are distributed. In this work, the iris is considered in a part-based framework as rings and sectors. A mean normalised bit error is defined as the bit error averaged over the entire part and over an ensemble of images. The distribution of this error for genuine comparisons is investigated as a function of radius (ring) and angle (sector) for a range of factors more comprehensively than previous studies of consistency of iris codes. Two iris recognition systems and three data sets are used. The effect of residual segmentation errors after automated segmentation is checked, and masks are manually refined to obtain segmentation error free data for further investigation. The effect of factors such as capture sensor, re sampling, input iris image resolution, filter type and encoding scheme, and changes in pupil size is systematically investigated. Results confirm the finding in previous works that the pupillary and limbic boundaries are more error-prone than the middle region of the iris. This study further confirms that this V-shaped radial trend is not significantly disturbed by any of the above factors other than pupil size changes. Both pupil dilation and constriction result in increased bit errors which no longer show a dip in the middle region of the iris. The distribution of errors as a function of angle is approximately uniform regardless of the factor investigated but shows a small decrease towards the sectors near the eye corners. (C) 2016 Elsevier Ltd. All rights reserved.

关键词： iris recognition iris code Consistent bits Error distribution

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Combining iris and periocular biometric for matching visible spectrum eye images

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PATTERN RECOGNITION LETTERS 2017年第May 1期91卷 11-16页

作者： Ahmed, Nasir Udin Cvetkovic, Slobodan Siddiqi, Erfanul Hoque Nikiforov, Andrey Nikiforov, Ilia Tiger IT House 21Rd 28Block K Dhaka 1213 Bangladesh

This paper describes biometric matching of eye images captured by the visible spectrum smart phone cameras from the MICHE II database. The matching is performed by calculating matching scores for iris codes and periocular biometric based on the Multi-Block Transitional Local Binary Patterns. The authentication scores are calculated separately, and the results are fused to improve the system performance. Score fusion significantly improves error statistics compared to individual iris and periocular matching. For example, equal error rate is about two times lower for fused scores compared to the separate iris and periocular matching. Our matching algorithm ranked first in MICHE II competition. (C) 2017 Elsevier B.V. All rights reserved.

关键词： Noisy iris recognition Visible spectrum iris code Local binary pattern Multimodal biometrics Score level fusion

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Reliable iris Feature Extraction by Local Thresholding with Optimum Block Size 5

Reliable Iris Feature Extraction by Local Thresholding with ...

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International Conference on Biometrics and Kansei Engineering (ICBAKE)

作者： Ishikawa, Ryo Ohtsuka, Tomohiko Tokyo Coll Natl Inst Technol Adv Course Elect & Elect Engn Tokyo Japan Tokyo Coll Natl Inst Technol Dept Elect Engn Tokyo Japan

ISBN: (纸本)9781538634011

In this paper, we propose the new iris feature extraction method that uses local thresholding with block size fitting to achieve a reliable iris authentication technique. The dispersion index is used to analyze the degree of variation in the pixel intensities. By calculating the pixel intensity variance for the block size, it is possible to quantify the degree of contrast and brightness in the block. The proposed method can adjust the block size for local thresholding by utilizing the pixel intensity variation. Evaluation experiments show that it is possible to extract the iris feature from low-contrast patterns with high accuracy, which was difficult to achieve using the conventional approach. Experimental results show that the EER (Equal Error Rate) of the proposed method is reduced to 0.4%, and the processing time increases to 3.3 ms when compared with the conventional approach.

关键词： iris feature extraction local thresholding with block size fitting iris code iris authentication

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TRACKING AND TRACEABILITY SYSTEM USING LIVESTOCK iris code IN MEAT SUPPLY CHAIN

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INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL 2011年第5A期7卷 2201-2212页

作者： Zhao, Lindu Sun, Shengnan Wang, Xiaoqiang Southeast Univ Inst Syst Engn Nanjing 210096 Peoples R China

As the global development of food industry and trade, emergent event on food safety shows rapid expansion and spreading, such as hand-foot-and-mouth disease and bovine spongiform encephalopathy (BSE or mad cow disease). Food safety concerns have put tracking and tracing at the center point of discussion. However, in food Commodities, the establishment of tracking and tracing capability meets many barriers that have prevented their broad use. The prominent problem is to establish a feasible identification (ID) system capable of quick tracking animals from birth to slaughter, and tracing meat from consumer to farm. This paper introduces a tracking and traceability system for meat supply chain, using livestock iris code. In the tracking module, iris code is used to mark large animal, such as pig, cattle and sheep, which are the main source of meat. And in the traceability module, two-dimension iris code, generated from the iris code, is printed in product package to help consumers to trace the product from supermarket to plant. This paper takes cattle as an experimental object, and generates iris code by using suitable algorithms.

关键词： Tracking and traceability iris code Meat supply chain Two-dimension iris code Food safety

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A Novel iris Authentication Using ECDSA

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INTERNATIONAL JOURNAL OF SECURITY AND ITS APPLICATIONS 2016年第1期10卷 119-124页

作者： Nagaraj, Srinivasan Raju, G. S. V. P. GMRIT Dept CSE GMR Nagar Rajam 532127 Andhra Pradesh India Andhra Univ Dept CS&ST Visakhapatnam Andhra Pradesh India

The Cryptographic systems need a secret key or a random number must be necessarily tied to an individual through a unique identifier. This unique identifier definitely might exist a globally user id or biometric data [2]. In this paper we combined biometric with cryptography in which the intensity of each pixel of iris is changed into the elliptic curve and encrypted using ECC. The receiver end original image is recovered by using their decryption and authentication [8] is performed using ECDSA. The proposed technique is implemented for BMP images. We can enroll and add the number of images for authentication. It has been also performed more security if the image is recovered without being any side channel attack.

关键词： ECC iris code Encryption Decryption

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Optimization of iris codes for Improved Recognition

Optimization of Iris Codes for Improved Recognition

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27th IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

作者： Mahadeo, Nitin K. Paplinski, Andrew P. Ray, Sid Monash Univ Clayton Sch Informat Technol Clayton Vic 3800 Australia

ISBN: (纸本)9781479943098

The texture of the iris is commonly represented as an iris code in iris recognition systems. While several approaches have been presented for generating iris codes, relatively few comparison techniques have been proposed. In this paper, we take advantage of the availability of several frames from an iris video to create a single optimized iris code. This is achieved by performing both row-wise and column-wise optimization of iris codes. Inconsistent bits are accurately detected and masked in the final iris code. Our experiments demonstrate that by exploiting variations within the comparison scores of different rows and columns of N frames, we are able to derive the number of consistent bits in the final iris code thereby resulting in significant improvement in recognition performance. We compare our algorithm with well-known methods, namely, Fragile bit masking, Signal fusion and, two Score Fusion techniques. Experimental results on a dataset of 986 iris videos show that the proposed method is encouraging and comparable to the best algorithms in the current literature. To our knowledge, this is the first work that makes use of the best rows and columns from different frames in an iris video to improve performance.

关键词： Biometrics iris code iris recognition Matching Performance

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A new accurate noise-removing approach for non-cooperative iris recognition

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SIGNAL IMAGE AND VIDEO PROCESSING 2014年第1期8卷 1-10页

作者： Ghodrati, Hamed Dehghani, Mohammad Javad Danyali, Habibolah Shiraz Univ Technol Dept Telecommun Engn Shiraz Iran

The applications of biometric technology for automated personal identification become ubiquitous. iris recognition is well known for high accuracy and reliability among the biometric traits. This paper presents an efficient noise-removing approach for non-cooperative iris recognition systems. Proposed method removed the noise factors including eyelids, eyelashes, reflections, out of framework, pupil and sclera. The novelty is to detect eyelashes and reflections through finding appropriate thresholds using a procedure called statistical decision making. The eyelids are detected using parabolic Hough transform in normalized iris image to increase computational speed. In addition, a coarse-to-fine strategy for accurate and fast iris localization is proposed. The Gabor-wavelet and a novel encoding strategy proposed in our previous work are also used here to generate the iris codes. We elaborate the principle of mask code generation to assign noisy bits in an iris code to exclude them in matching step. Experimental results on CASIA-irisV3-Interval database show superiority of the proposed scheme among other state-of-the-art methods available in the literature.

关键词： iris segmentation Noise-removing Statistical decision making iris code Mask code Hough transform

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