22 May 2014 Large data analysis: automatic visual personal identification in a demography of 1.2 billion persons
Author Affiliations +
Abstract
The largest biometric deployment in history is now underway in India, where the Government is enrolling the iris patterns (among other data) of all 1.2 billion citizens. The purpose of the Unique Identification Authority of India (UIDAI) is to ensure fair access to welfare benefits and entitlements, to reduce fraud, and enhance social inclusion. Only a minority of Indian citizens have bank accounts; only 4 percent possess passports; and less than half of all aid money reaches its intended recipients. A person who lacks any means of establishing their identity is excluded from entitlements and does not officially exist; thus the slogan of UIDAI is: To give the poor an identity." This ambitious program enrolls a million people every day, across 36,000 stations run by 83 agencies, with a 3-year completion target for the entire national population. The halfway point was recently passed with more than 600 million persons now enrolled. In order to detect and prevent duplicate identities, every iris pattern that is enrolled is first compared against all others enrolled so far; thus the daily workflow now requires 600 trillion (or 600 million-million) iris cross-comparisons. Avoiding identity collisions (False Matches) requires high biometric entropy, and achieving the tremendous match speed requires phase bit coding. Both of these requirements are being delivered operationally by wavelet methods developed by the author for encoding and comparing iris patterns, which will be the focus of this Large Data Award" presentation.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
John Daugman, John Daugman, } "Large data analysis: automatic visual personal identification in a demography of 1.2 billion persons", Proc. SPIE 9118, Independent Component Analyses, Compressive Sampling, Wavelets, Neural Net, Biosystems, and Nanoengineering XII, 911802 (22 May 2014); doi: 10.1117/12.2053021; https://doi.org/10.1117/12.2053021
PROCEEDINGS
8 PAGES


SHARE
RELATED CONTENT

A novel key management scheme using biometrics
Proceedings of SPIE (April 28 2010)
Using 2D Log-Gabor spatial filters for iris recognition
Proceedings of SPIE (April 17 2006)
Biorthogonal-wavelets-based iris recognition
Proceedings of SPIE (March 28 2005)
Recognizing persons by their iris patterns
Proceedings of SPIE (April 12 2010)
A one-dimensional approach for iris identification
Proceedings of SPIE (August 25 2004)
Iris identification using contourlet transform
Proceedings of SPIE (February 27 2007)

Back to Top