Iris Recognition Using Improved Xor-Sum Code

[1]  Jean-Luc Dugelay,et al.  FIRE: Fast Iris REcognition on mobile phones by combining colour and texture features , 2017, Pattern Recognit. Lett..

[2]  Ajay Kumar,et al.  Comparison and combination of iris matchers for reliable personal authentication , 2010, Pattern Recognit..

[3]  Patrick J. Flynn,et al.  Image understanding for iris biometrics: A survey , 2008, Comput. Vis. Image Underst..

[4]  John Daugman,et al.  Radial correlations in iris patterns, and mutual information within IrisCodes , 2019, IET Biom..

[5]  Ritesh Vyas,et al.  Iris recognition using 2-D Gabor filter and XOR-SUM code , 2016, 2016 1st India International Conference on Information Processing (IICIP).

[6]  Yiming Wang,et al.  T-Center: A Novel Feature Extraction Approach Towards Large-Scale Iris Recognition , 2020, IEEE Access.

[7]  Ritesh Vyas,et al.  Efficient iris recognition through curvelet transform and polynomial fitting , 2019 .

[8]  Keita Hirai,et al.  Cross-spectral iris recognition using phase-based matching and homomorphic filtering , 2020, Heliyon.

[9]  Sébastien Marcel,et al.  Cross-eyed 2017: Cross-spectral iris/periocular recognition competition , 2017, 2017 IEEE International Joint Conference on Biometrics (IJCB).

[10]  K. Manikantan,et al.  DWT-based Feature Extraction and Radon Transform Based Contrast Enhancement for Improved Iris Recognition , 2015 .

[11]  Sridha Sridharan,et al.  Iris Recognition With Off-the-Shelf CNN Features: A Deep Learning Perspective , 2018, IEEE Access.

[12]  Ritesh Vyas,et al.  Efficient features for smartphone-based iris recognition , 2019, Turkish J. Electr. Eng. Comput. Sci..

[13]  David Zhang,et al.  Palmprint feature extraction using 2-D Gabor filters , 2003, Pattern Recognit..

[14]  Zhengwei Yang,et al.  Iris recognition in visible spectrum based on multi-layer analogous convolution and collaborative representation , 2019, Pattern Recognit. Lett..

[15]  Andreas Uhl,et al.  Experimental analysis regarding the influence of iris segmentation on the recognition rate , 2016, IET Biom..

[16]  Arun Ross,et al.  50 years of biometric research: Accomplishments, challenges, and opportunities , 2016, Pattern Recognit. Lett..

[17]  Arun Kumar Sangaiah,et al.  Iris feature extraction through wavelet mel-frequency cepstrum coefficients , 2019 .

[18]  Neda Ahmadi,et al.  Hybrid robust iris recognition approach using iris image pre-processing, two-dimensional gabor features and multi-layer perceptron neural network/PSO , 2017, IET Biom..

[19]  Neda Ahmadi,et al.  An intelligent method for iris recognition using supervised machine learning techniques , 2019 .

[20]  Ajay Kumar,et al.  Toward More Accurate Iris Recognition Using Cross-Spectral Matching , 2017, IEEE Transactions on Image Processing.

[21]  Danny Z. Chen,et al.  Iris Recognition Based on Human-Interpretable Features , 2016, IEEE Trans. Inf. Forensics Secur..

[22]  John Daugman,et al.  High Confidence Visual Recognition of Persons by a Test of Statistical Independence , 1993, IEEE Trans. Pattern Anal. Mach. Intell..

[23]  Liang Tao,et al.  Weber Local Descriptors With Variable Curvature Gabor Filter for Finger Vein Recognition , 2019, IEEE Access.

[24]  Arun Ross,et al.  An introduction to biometric recognition , 2004, IEEE Transactions on Circuits and Systems for Video Technology.

[25]  Kevin W. Bowyer,et al.  Identity verification using iris images: Performance of human examiners , 2013, 2013 IEEE Sixth International Conference on Biometrics: Theory, Applications and Systems (BTAS).

[26]  Ran Liu,et al.  Negative Iris Recognition , 2018, IEEE Transactions on Dependable and Secure Computing.

[27]  Kiran B. Raja,et al.  Cross-Eyed - Cross-Spectral Iris/Periocular Recognition Database and Competition , 2016, 2016 International Conference of the Biometrics Special Interest Group (BIOSIG).

[28]  Arun Kumar Sangaiah,et al.  Reducing dense local feature key-points for faster iris recognition , 2018, Comput. Electr. Eng..