DocumentCode :
2257649
Title :
Patient identification using high-confidence wavelet based Iris Pattern recognition
Author :
Conjeti, Sailesh ; Jetwani, Dhiraj Puroshottam
Author_Institution :
Dept. of Electr. & Electron. Eng., Birla Inst. of Technol. & Sci. (BITS), Pilani, India
fYear :
2012
fDate :
5-7 Jan. 2012
Firstpage :
628
Lastpage :
631
Abstract :
Patient Identification has been a critical area of research in the field of patient safety and healthcare planning. The presented paper aims to address this issue with the help of a high-confidence wavelet based Iris Pattern recognition technique. The proposed technique comprises of automatic iris segmentation using non-orthogonal wavelets followed by selective reconstruction of 4th level Detail component of the segmented iris image after Haar wavelet decomposition. Further, the reconstructed image is normalized and unwrapped using Daugman rubber sheet model and its features are encoded using Gabor filters. Subsequently, the iris template generate using phase-quadrature demodulation scheme is indexed into the medical repository. Before intervention or medical procedures, the patient´s identity is verified against the indexed iris templates using the Hamming Distance approach. The proposed algorithm attains an overall predictive ability of 95.49% and sensitivity of 99.82% ensuring robust performance.
Keywords :
Gabor filters; Haar transforms; image reconstruction; image segmentation; iris recognition; wavelet transforms; Daugman rubber sheet model; Gabor filters; Haar wavelet decomposition; automatic iris segmentation; hamming distance approach; healthcare planning; high-confidence wavelet based iris pattern recognition; nonorthogonal wavelets; patient identification; patient safety; phase-quadrature demodulation scheme; selective reconstruction; Biomedical imaging; Detectors; Hamming distance; Image edge detection; Image segmentation; Safety; Transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical and Health Informatics (BHI), 2012 IEEE-EMBS International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4577-2176-2
Electronic_ISBN :
978-1-4577-2175-5
Type :
conf
DOI :
10.1109/BHI.2012.6211661
Filename :
6211661
Link To Document :
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