Iris Analysis for Biometric Recognition Systems -  Rajesh M. Bodade,  Sanjay N. Talbar

Iris Analysis for Biometric Recognition Systems (eBook)

eBook Download: PDF
2014 | 2014
XIX, 109 Seiten
Springer India (Verlag)
978-81-322-1853-1 (ISBN)
64,19 € inkl. MwSt
Systemvoraussetzungen
53,49 € inkl. MwSt
Systemvoraussetzungen
  • Download sofort lieferbar
  • Zahlungsarten anzeigen
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.

Rajesh M. Bodade is currently working as Associate Professor in Faculty of Communication Engineering at Military College of Telecommunication Engineering, Mhow, Indore, India. He completed his PhD in Electronics and Telecommunication Engineering (Iris Analysis for Biometric Recognition System) from SRTM University, Nanded, India in 2011. Dr. Bodade has more than 20 years of teaching experience. He received 'Chief of Army Staff Medal and Commendation' and 'General Officer Command in Chief-Army Training Command Medal and Commendation' on 26 January 2011 and 15 August 2013, respectively, for his outstanding contribution in teaching and research at MCTE, Mhow. He has also published several papers/articles in National and International peer-reviewed journals and Conference Proceedings. He has published over 20 papers in refereed Journals and National/International Conferences of repute. He is the Life member of Indian Society for Technical Education, Institution of Engineers (India) and Fellow of IETE. His research interests include signal processing, pattern recognition, biometrics, SDR and cognitive radio.

Sanjay N. Talbar is a Professor in the Department of Electronics and Telecommunication Engineering, Shri Guru Gobind Singhji Institute of Engineering and Technology, Nanded, India. He received B.E. and M.E. degrees from SGGS Institute of Technology, Nanded, India in 1985 and 1990, respectively. He obtained his PhD from SRTM University, Nanded, India in 2000. He received the 'Young Scientist Award' by URSI, Italy in 2003. He has published 10 books, 50+ papers in refereed Journals and more than 120 papers in National and International Conferences. He has guided about 70 students for dissertation at M.E./M.Tech. and supervised 10 students for PhD and additional research scholars are working towards their PhD. He is a member of various prestigious academic committees. He is a member of IET (UK), life member of Indian Society for Technical Education (ISTE) and Fellow of IETE. His research interests include image processing, multimedia computing, biometrics and embedded system design.


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.

Rajesh M. Bodade is currently working as Associate Professor in Faculty of Communication Engineering at Military College of Telecommunication Engineering, Mhow, Indore, India. He completed his PhD in Electronics and Telecommunication Engineering (Iris Analysis for Biometric Recognition System) from SRTM University, Nanded, India in 2011. Dr. Bodade has more than 20 years of teaching experience. He received “Chief of Army Staff Medal and Commendation” and “General Officer Command in Chief-Army Training Command Medal and Commendation” on 26 January 2011 and 15 August 2013, respectively, for his outstanding contribution in teaching and research at MCTE, Mhow. He has also published several papers/articles in National and International peer-reviewed journals and Conference Proceedings. He has published over 20 papers in refereed Journals and National/International Conferences of repute. He is the Life member of Indian Society for Technical Education, Institution of Engineers (India) and Fellow of IETE. His research interests include signal processing, pattern recognition, biometrics, SDR and cognitive radio.Sanjay N. Talbar is a Professor in the Department of Electronics and Telecommunication Engineering, Shri Guru Gobind Singhji Institute of Engineering and Technology, Nanded, India. He received B.E. and M.E. degrees from SGGS Institute of Technology, Nanded, India in 1985 and 1990, respectively. He obtained his PhD from SRTM University, Nanded, India in 2000. He received the “Young Scientist Award” by URSI, Italy in 2003. He has published 10 books, 50+ papers in refereed Journals and more than 120 papers in National and International Conferences. He has guided about 70 students for dissertation at M.E./M.Tech. and supervised 10 students for PhD and additional research scholars are working towards their PhD. He is a member of various prestigious academic committees. He is a member of IET (UK), life member of Indian Society for Technical Education (ISTE) and Fellow of IETE. His research interests include image processing, multimedia computing, biometrics and embedded system design.

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.

Erscheint lt. Verlag 7.5.2014
Reihe/Serie SpringerBriefs in Applied Sciences and Technology
SpringerBriefs in Computational Intelligence
Zusatzinfo XIX, 109 p. 63 illus.
Verlagsort New Delhi
Sprache englisch
Themenwelt Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Technik Elektrotechnik / Energietechnik
Technik Nachrichtentechnik
Schlagworte Dual Tree Complex Wavelet Transform • Iris Analysis • iris recognition • Iris Segmentation • Pupil Dynamics • Rotated Complex Wavelet Filters
ISBN-10 81-322-1853-1 / 8132218531
ISBN-13 978-81-322-1853-1 / 9788132218531
Haben Sie eine Frage zum Produkt?
PDFPDF (Wasserzeichen)
Größe: 6,1 MB

DRM: Digitales Wasserzeichen
Dieses eBook enthält ein digitales Wasser­zeichen und ist damit für Sie persona­lisiert. Bei einer missbräuch­lichen Weiter­gabe des eBooks an Dritte ist eine Rück­ver­folgung an die Quelle möglich.

Dateiformat: PDF (Portable Document Format)
Mit einem festen Seiten­layout eignet sich die PDF besonders für Fach­bücher mit Spalten, Tabellen und Abbild­ungen. Eine PDF kann auf fast allen Geräten ange­zeigt werden, ist aber für kleine Displays (Smart­phone, eReader) nur einge­schränkt geeignet.

Systemvoraussetzungen:
PC/Mac: Mit einem PC oder Mac können Sie dieses eBook lesen. Sie benötigen dafür einen PDF-Viewer - z.B. den Adobe Reader oder Adobe Digital Editions.
eReader: Dieses eBook kann mit (fast) allen eBook-Readern gelesen werden. Mit dem amazon-Kindle ist es aber nicht kompatibel.
Smartphone/Tablet: Egal ob Apple oder Android, dieses eBook können Sie lesen. Sie benötigen dafür einen PDF-Viewer - z.B. die kostenlose Adobe Digital Editions-App.

Zusätzliches Feature: Online Lesen
Dieses eBook können Sie zusätzlich zum Download auch online im Webbrowser lesen.

Buying eBooks from abroad
For tax law reasons we can sell eBooks just within Germany and Switzerland. Regrettably we cannot fulfill eBook-orders from other countries.

PDFPDF (Adobe DRM)

Kopierschutz: Adobe-DRM
Adobe-DRM ist ein Kopierschutz, der das eBook vor Mißbrauch schützen soll. Dabei wird das eBook bereits beim Download auf Ihre persönliche Adobe-ID autorisiert. Lesen können Sie das eBook dann nur auf den Geräten, welche ebenfalls auf Ihre Adobe-ID registriert sind.
Details zum Adobe-DRM

Dateiformat: PDF (Portable Document Format)
Mit einem festen Seiten­layout eignet sich die PDF besonders für Fach­bücher mit Spalten, Tabellen und Abbild­ungen. Eine PDF kann auf fast allen Geräten ange­zeigt werden, ist aber für kleine Displays (Smart­phone, eReader) nur einge­schränkt geeignet.

Systemvoraussetzungen:
PC/Mac: Mit einem PC oder Mac können Sie dieses eBook lesen. Sie benötigen eine Adobe-ID und die Software Adobe Digital Editions (kostenlos). Von der Benutzung der OverDrive Media Console raten wir Ihnen ab. Erfahrungsgemäß treten hier gehäuft Probleme mit dem Adobe DRM auf.
eReader: Dieses eBook kann mit (fast) allen eBook-Readern gelesen werden. Mit dem amazon-Kindle ist es aber nicht kompatibel.
Smartphone/Tablet: Egal ob Apple oder Android, dieses eBook können Sie lesen. Sie benötigen eine Adobe-ID sowie eine kostenlose App.
Geräteliste und zusätzliche Hinweise

Buying eBooks from abroad
For tax law reasons we can sell eBooks just within Germany and Switzerland. Regrettably we cannot fulfill eBook-orders from other countries.

Mehr entdecken
aus dem Bereich
der Praxis-Guide für Künstliche Intelligenz in Unternehmen - Chancen …

von Thomas R. Köhler; Julia Finkeissen

eBook Download (2024)
Campus Verlag
38,99
Wie du KI richtig nutzt - schreiben, recherchieren, Bilder erstellen, …

von Rainer Hattenhauer

eBook Download (2023)
Rheinwerk Computing (Verlag)
24,90