Iris Analysis for Biometric Recognition Systems [electronic resource] / by Rajesh M. Bodade, Sanjay N. Talbar.

By:

Bodade, Rajesh M [author.]

Contributor(s):

Material type: Text

TextSeries: SpringerBriefs in Applied Sciences and TechnologyPublisher: New Delhi : Springer India : Imprint: Springer, 2014Description: XIX, 109 p. 63 illus. online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9788132218531

Subject(s):

Additional physical formats: Printed edition:: No titleDDC classification:

621.382 23

LOC classification:

TK5102.9
TA1637-1638
TK7882.S65

Online resources:

Click here to access online

Contents:

Introduction to Iris Recognition -- Related Work -- Iris Segmentation -- Iris Recognition using Dual Tree Complex Wavelet Transform and Rotated Complex Wavelet Filters -- Conclusion and Future Scope.

In: Springer eBooksSummary: The book presents three most significant areas in Biometrics and Pattern Recognition. A step-by-step approach for design and implementation of Dual Tree Complex Wavelet Transform (DTCWT) plus Rotated Complex Wavelet Filters (RCWF) is discussed in detail. In addition to the above, the book provides detailed analysis of iris images and two methods of iris segmentation. It also discusses simplified study of some subspace-based methods and distance measures for iris recognition backed by empirical studies and statistical success verifications.

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Holdings
Item type	Current library	Call number	Status	Date due	Barcode
E-Book	Central Library		Available		E-51615

Introduction to Iris Recognition -- Related Work -- Iris Segmentation -- Iris Recognition using Dual Tree Complex Wavelet Transform and Rotated Complex Wavelet Filters -- Conclusion and Future Scope.

The book presents three most significant areas in Biometrics and Pattern Recognition. A step-by-step approach for design and implementation of Dual Tree Complex Wavelet Transform (DTCWT) plus Rotated Complex Wavelet Filters (RCWF) is discussed in detail. In addition to the above, the book provides detailed analysis of iris images and two methods of iris segmentation. It also discusses simplified study of some subspace-based methods and distance measures for iris recognition backed by empirical studies and statistical success verifications.

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