000 03283nam a22005415i 4500
001 978-3-319-06767-4
003 DE-He213
005 20200421111649.0
007 cr nn 008mamaa
008 140512s2014 gw | s |||| 0|eng d
020 _a9783319067674
_9978-3-319-06767-4
024 7 _a10.1007/978-3-319-06767-4
_2doi
050 4 _aTK5102.9
050 4 _aTA1637-1638
050 4 _aTK7882.S65
072 7 _aTTBM
_2bicssc
072 7 _aUYS
_2bicssc
072 7 _aTEC008000
_2bisacsh
072 7 _aCOM073000
_2bisacsh
082 0 4 _a621.382
_223
100 1 _aRahulkar, Amol D.
_eauthor.
245 1 0 _aIris Image Recognition
_h[electronic resource] :
_bWavelet Filter-banks Based Iris Feature Extraction Schemes /
_cby Amol D. Rahulkar, Raghunath S. Holambe.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2014.
300 _aXIII, 84 p. 33 illus., 17 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSpringerBriefs in Electrical and Computer Engineering,
_x2191-8112
505 0 _aIntroduction -- Features Based on Triplet Half-band Wavelet Filter-banks -- Combined Directional Wavelet Filter-banks Based Features -- Iris Representation by Combined Hybrid Directional Wavelet Filter-banks -- Ordinal Measures Based on Directional Ordinal Wavelet Filters.
520 _aThis book provides the new results in wavelet filter banks based feature extraction, and the classifier in the field of iris image recognition. It provides the broad treatment on the design of separable, non-separable wavelets filter banks, and the classifier. The design techniques presented in the book are applied on iris image analysis for person authentication. This book also brings together the three strands of research (wavelets, iris image analysis, and classifier). It compares the performance of the presented techniques with state-of-the-art available schemes. This book contains the compilation of basic material on the design of wavelets that avoids reading many different books. Therefore, it provide an easier path for the new-comers, researchers to master the contents. In addition, the designed filter banks and classifier can also be effectively used than existing filter-banks in many signal processing applications like pattern classification, data-compression, watermarking, denoising etc.  that will give the new directions of the research in the relevant field for the readers.
650 0 _aEngineering.
650 0 _aComputer graphics.
650 0 _aSystem safety.
650 1 4 _aEngineering.
650 2 4 _aSignal, Image and Speech Processing.
650 2 4 _aComputer Imaging, Vision, Pattern Recognition and Graphics.
650 2 4 _aSecurity Science and Technology.
700 1 _aHolambe, Raghunath S.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319067667
830 0 _aSpringerBriefs in Electrical and Computer Engineering,
_x2191-8112
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-06767-4
912 _aZDB-2-ENG
942 _cEBK
999 _c54292
_d54292