High Performance Iris Recognition Based on LDA and LPCC
ICTAI '05 Proceedings of the 17th IEEE International Conference on Tools with Artificial Intelligence
An Anomaly Intrusion Detection System Based on Vector Quantization
IEICE - Transactions on Information and Systems
A fast VQ codebook generation algorithm using codeword displacement
Pattern Recognition
Handbook of Biometrics
Face Recognition Based on DCT and 2DLDA
ICICIC '07 Proceedings of the Second International Conference on Innovative Computing, Informatio and Control
A Fast and Accurate Iris Recognition Method Using the Complex Inversion Map and 2DPCA
ICIS '08 Proceedings of the Seventh IEEE/ACIS International Conference on Computer and Information Science (icis 2008)
An Efficient Fast Algorithm to Generate Codebook for Vector Quantization
ICETET '08 Proceedings of the 2008 First International Conference on Emerging Trends in Engineering and Technology
A New Iris Recognition Method Based on Gabor Wavelet Neural Network
IIH-MSP '08 Proceedings of the 2008 International Conference on Intelligent Information Hiding and Multimedia Signal Processing
Fast codebook search algorithm for vector quantization using sorting technique
Proceedings of the International Conference on Advances in Computing, Communication and Control
Proceedings of the International Conference on Advances in Computing, Communication and Control
A human identification technique using images of the iris andwavelet transform
IEEE Transactions on Signal Processing
Face detection using quantized skin color regions merging andwavelet packet analysis
IEEE Transactions on Multimedia
Lossless compression of VQ index with search-order coding
IEEE Transactions on Image Processing
Efficient iris recognition by characterizing key local variations
IEEE Transactions on Image Processing
Fast Planar-Oriented Ripple Search Algorithm for Hyperspace VQ Codebook
IEEE Transactions on Image Processing
IEEE Transactions on Circuits and Systems for Video Technology
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Iris recognition enjoys universality, high degree of uniqueness and moderate user co-operation. This makes Iris recognition systems unavoidable in emerging security & authentication mechanisms. We propose an iris recognition system based on vector quantization and its performance is compared with the Discrete Cosine Transform (DCT). The proposed VQ based system does not need any pre-processing and segmentation of the iris. For vector quantization we have used Kekre's Fast Codebook Generation Algorithm (KFCG). Proposed VQ based method using KFCG requires 99.99% less computations as that of full 2-dimensional DCT. Further the KFCG method gives better performance with the accuracy of 89.10% outperforming DCT that gives accuracy around 66.10%. The system has a future scope for integration in existing mechanisms.