Certain Investigations on Transform Based Techniques in Palmprint and Finger Knuckle-Print Biometrics for Personal Authentification (eBook)

N.B. Mahesh Kumar, K. Premalatha (Autoren)

eBook Download: PDF

2017 | 1. Auflage
53 Seiten
GRIN Publishing (Verlag)
978-3-668-56285-1 (ISBN)

Infos

Scientific Essay from the year 2016 in the subject Communications - Multimedia, Internet, New Technologies, grade: 7.0, Bannari Amman Institute of Technology, course: Ph.D, language: English, abstract: Biometric methods for authenticating and identifying people are increasingly used in both the commercial and private sector. Today’s commercially available biometric systems show good reliability. However, they generally lack user acceptance. Users showed an antipathy towards touching a possibly dirty fingerprint scanner, or looking into an iris scanner that might malfunction and eventually impair their vision. Whether those fears are well founded or not is less important. The fact is, they have considerable influence on user acceptance. And user consent is important for a good and successful application of a biometric system, as well as for good recognition rates.

In response to the increasing demand for reliable as well as user friendly biometric systems, this work investigates the applicability of palmprint and FKP were the biometric features for authentication. Using palmprint or FKP as a biometric system avoids such problems as shown before, since it requires no subject interaction.

The main objectives of the thesis are: to propose the transform based techniques that is used to achieve higher recognition accuracy and lower equal error rate; and to examine the performance of the proposed techniques with the existing methodologies.

Produkt-Details

• Erscheint lt. Verlag: 6.11.2017
• Verlagsort: München
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Informatik ► Grafik / Design
• Themenwelt: Sozialwissenschaften ► Kommunikation / Medien ► Medienwissenschaft
• Schlagworte: Biometric methods • fingerprint scan • iris scanner • palmprint • skin recognition
• ISBN-10: 3-668-56285-7 / 3668562857
• ISBN-13: 978-3-668-56285-1 / 9783668562851