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Gender Classification From the Same Iris Code Used for Recognition
2016
IEEE Transactions on Information Forensics and Security
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This paper is the first to predict gender directly from the same binary iris code that could be used for recognition. ...
We used the measures of mutual information to guide the selection of bits from the iris code to use as features in gender prediction. ...
ACKNOWLEDGEMENTS Thanks to Vince Thomas, Mike Batanian, Steve Lagree and Yingjie Gu for the work they have previously done in this research topic. ...
doi:10.1109/tifs.2016.2550418
fatcat:ve2ujq7cnvhurekr275mv4u2cu
Gender Classification From The Iris Code Used For Recognition
2017
International Journal of MC Square Scientific Research
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In this paper, we present a new method for gender classification based on features of the iris texture selected by mutual information to improve gender classification of face images. ...
We compared our method with existing gender classification methods based on texture feature with classifier being the same as SVM. ...
Our approach is the first to classify gender from the same iris-code used to identify people. ...
doi:10.20894/ijmsr.117.009.001.027
fatcat:7ja6323dfffprjuvw6jsek3s6q
Gender Classification from Iris Images Using Fusion of Uniform Local Binary Patterns
[chapter]
2015
Lecture Notes in Computer Science
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To our knowledge, this is the highest accuracy yet achieved for predicting gender from iris texture. ...
We explore using different implementations of Local Binary Patterns from the iris image using the masked information. ...
Acknowledgements Thanks to Vince Thomas, Mike Batanian, Steve Lagree and Yingjie Gu for the work they have previously done in this research topic. ...
doi:10.1007/978-3-319-16181-5_57
fatcat:vwahdun44jgmborrguwnbmajai
Ethnic Classification Based on Iris Images
[chapter]
2011
Lecture Notes in Computer Science
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However, iris texture also contains more information related to genes, which has been demonstrated by successful use of ethnic and gender classification based on iris. ...
The optimized codebook is composed of codes which are distinctive or mutual. Iris images from Asian and non-Asian are classified into two classes in experiments. ...
We use the term "code" for unification in this paper. Iris images from different races exhibit different patterns, while sharing some same patterns. ...
doi:10.1007/978-3-642-25449-9_11
fatcat:mbmju2btsrbdtn6hi5aiciabpm
Development Of Iris Based Age And Gender Detection System
2022
International Journal of Progressive Sciences and Technologies
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The hypothesis stating 'the iris has age, and gender-related information' is proven correct from experimental results. ...
Deep learning pre-trained networks are adopted to extract features from iris images. ...
Boddeti and Kumar (2010) investigated the use of wavefront-coded imagery for iris recognition. ...
doi:10.52155/ijpsat.v34.1.4477
fatcat:qy2q5dqxi5a5xo3i3566ptp3n4
Gender Classification from Iris Texture Images Using a New Set of Binary Statistical Image Features
[article]
2019
arXiv
pre-print
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It uses the same pipeline for iris recognition systems consisting of iris segmentation, normalisation and then classification. ...
This paper explores the use of a Binary Statistical Features (BSIF) algorithm for classifying gender from iris texture images captured with NIR sensors. ...
[31] classified gender directly from the same binary iris-code that is used for recognition. ...
arXiv:1905.00372v1
fatcat:mucecyax6rhbxn6lwfy4bpjm3y
Human Gender Classification using Machine Learning
2019
International Journal of Engineering Research and
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In several kind of pattern recognition, machine learning gives a relation between gender and face. This paper proposes comparison between different techniques used for gender classification. ...
Human Gender classification is one of the most interested and critical area of research. ...
Different approaches for detecting the gender of the person based on various features. The paper [7] introduced same iris code for gender prediction and recognition. ...
doi:10.17577/ijertv8is120228
fatcat:ukzmlilnlfhglccnrty5krt4dm
Gender-From-Iris or Gender-From-Mascara?
[article]
2017
arXiv
pre-print
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Our results suggest that the gender-from-iris problem is more difficult than has so far been appreciated. ...
a much weaker ability to predict gender-from-iris texture than has been suggested in previous work. ...
Acknowledgements The authors thank Dr. Adam Czajka for his invaluable insight and contribution. ...
arXiv:1702.01304v1
fatcat:e7ell4usdva5fapexh2oabwmcq
Classification of Genetically Identical Left and Right Irises Using a Convolutional Neural Network
2019
Electronics
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Experimental results with two independent iris datasets show that a remarkably high classification accuracy of larger than 94% can be achieved when identifying if two irises (left and right) are from the ...
As one of the most reliable biometric identification techniques, iris recognition has focused on the differences in iris textures without considering the similarities. ...
[16] further showed that, from the same binary iris code used for recognition, gender can be predicted with 89% accuracy. ...
doi:10.3390/electronics8101109
fatcat:axyzzqfxjng2rikevrw2bfbun4
Predicting ethnicity and gender from iris texture
2011
2011 IEEE International Conference on Technologies for Homeland Security (HST)
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Previous researchers have reported success in predicting ethnicity and in predicting gender from features of the iris texture. ...
This paper is the first to consider both problems using similar experimental approaches. ...
Stephen Lagree was supported by the Ateyeh Endowment for Excellence at the University of Notre Dame as an Ateyeh Undergraduate Research Scholar. ...
doi:10.1109/ths.2011.6107909
fatcat:jfgwzlemhjhmdoibcts35c3nbi
Identity verification using iris images: Performance of human examiners
2013
2013 IEEE Sixth International Conference on Biometrics: Theory, Applications and Systems (BTAS)
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We are not aware of any previous systematic investigation of how well human examiners perform at identity verification using the same type of images as acquired for automated iris recognition. ...
eyes, with the two different individuals having the same gender, ethnicity and approximate age. ...
For "Same Person (likely)", the classification was correct 76.7% of the time. For "Different Person (likely)", the classification was correct 91.3% of the time. ...
doi:10.1109/btas.2013.6712727
dblp:conf/btas/McGinnTB13
fatcat:i5gsu2s5n5cb3nrtz7o4oughey
Gender Prediction from Iris Recognition using Artificial Neural Network (ANN)
2020
International Journal of Engineering Research and
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The performance of iris recognition system enhanced the gender prediction from their iris images .This work pointed to enhance the gender prediction from eye images using artificial neural network . ...
Gender prediction from iris recognition techniques is widely used in human identification process namely biometric identification. Physical ageing is an important factor for biometrics. ...
Gender prediction from an artificial neural network is used for the process. ...
doi:10.17577/ijertv9is070394
fatcat:vma2ps336ngjnicz7227xewni4
Iris recognition under the influence of diabetes
2019
Biomedical Engineering
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Three different open source iris recognition codes and one commercial software development kit were used for achieving the iris recognition system's performance evaluation results under the influence of ...
For statistical analysis, the t-test and the Kolmogorov-Simonov test were used. ...
[15] studied the effect of eye diseases on the reliability of an iris recognition system using the irises from 92 participants affected by illness (184 eyes), for four different shapes of disorder. ...
doi:10.1515/bmt-2018-0190
pmid:31322999
fatcat:c4ct7gpicbcnxelmhzphgbwyoe
Unconstrained Biometric Recognition: Summary of Recent SOCIA Lab. Research
[article]
2020
arXiv
pre-print
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Other Versions
The idea is that it can be used as basis for someone wishing to entering in this research topic. ...
efforts from the research community. ...
images of the same iris. ...
arXiv:2001.09703v2
fatcat:hugkig4wxvgaldscwbobn6yhuy
A Soft Computing Model of Soft Biometric Traits for Gender and Ethnicity Classification
2019
International Journal of Engineering and Manufacturing
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Histogram equalization was used for image enhancement and the system performance was evaluated on the basis of some selected metrics such as Recognition Accuracy, Average Recognition Time, Specificity ...
In this work, fingerprints of over a thousand people from three different ethnic groups of both male and female gender in Nigeria were captured and subjected to training, testing and classification using ...
[14] in his study predicts Ethnicity and Gender from Iris Texture. ...
doi:10.5815/ijem.2019.02.05
fatcat:iq4ncjb3ffbrnnvvwitkyl7pqi
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