Automatic Fingerprint Recognition Systems
US $105.00
or Best Offer
or 4 interest-free payments of $26.25 available with
Condition:
Very Good
A book that does not look new and has been read but is in excellent condition. No obvious damage to the cover, with the dust jacket (if applicable) included for hard covers. No missing or damaged pages, no creases or tears, and no underlining/highlighting of text or writing in the margins. May be very minimal identifying marks on the inside cover. Very minimal wear and tear. See the seller’s listing for full details and description of any imperfections.
- Buy It NowAutomatic Fingerprint Recognition Systems
Oops! Looks like we're having trouble connecting to our server.
Refresh your browser window to try again.
Shipping:
US $5.38 USPS Media MailTM.
Located in: East Hartford, Connecticut, United States
Delivery:
Estimated between Mon, Jun 30 and Mon, Jul 7 to 94104
Returns:
Seller does not accept returns.
Payments:
.
4 interest-free payments of $26.25 available with Klarna.
Special financing available. See terms and apply now- for PayPal Credit, opens in a new window or tab
Earn up to 5x points when you use your eBay Mastercard®. Learn moreabout earning points with eBay Mastercard
Shop with confidence
Seller assumes all responsibility for this listing.
eBay item number:286065143374
Item specifics
- Condition
- Book Title
- Automatic Fingerprint Recognition Systems
- ISBN
- 9780387955933
- Subject Area
- Law, Computers
- Publication Name
- Automatic Fingerprint Recognition Systems
- Publisher
- Springer New York
- Item Length
- 9.3 in
- Subject
- Computer Graphics, Forensic Science, Computer Vision & Pattern Recognition
- Publication Year
- 2003
- Type
- Textbook
- Format
- Hardcover
- Language
- English
- Item Weight
- 33.9 Oz
- Item Width
- 6.1 in
- Number of Pages
- Xvii, 458 Pages
About this product
Product Identifiers
Publisher
Springer New York
ISBN-10
0387955933
ISBN-13
9780387955933
eBay Product ID (ePID)
2481333
Product Key Features
Number of Pages
Xvii, 458 Pages
Language
English
Publication Name
Automatic Fingerprint Recognition Systems
Subject
Computer Graphics, Forensic Science, Computer Vision & Pattern Recognition
Publication Year
2003
Type
Textbook
Subject Area
Law, Computers
Format
Hardcover
Dimensions
Item Weight
33.9 Oz
Item Length
9.3 in
Item Width
6.1 in
Additional Product Features
Intended Audience
Scholarly & Professional
LCCN
2003-044593
Dewey Edition
21
Number of Volumes
1 vol.
Illustrated
Yes
Dewey Decimal
363.25/8
Table Of Content
History of Fingerprint Pattern Recognition.- Advances in Fingerprint Sensors Using RF Imaging Techniques.- Fingerprint Quality Assessment.- Dynamic Behavior in Fingerprint Videos.- Computer Enhancement and Modeling of Fingerprint Images.- Image Filter Design for Fingerprint Enhancement.- Fingerprint Enhancement.- Feature Extraction in Fingerprint Images.- The State of the Art in Fingerprint Classification.- Fingerprint Classification by Decision Fusion.- Fingerprint Matching.- Fingerprint Matching Using Distortion-Tolerant Filters.- Fingerprint Preselection Using Eigenfeatures for a Large-Size Database.- Systems Engineering for Large-Scale Fingerprint Systems.- Multifinger Penetration Rate and ROC Variability for Automatic Fingerprint Identification Systems.- Latent Fingerprint Analysis Using an AM-FM Model.- Error Rates for Human Latent Fingerprint Examiners.- Generation of Synthetic Fingerprint Image Databases.- Fingerprint Image Compression and the Wavelet Scalar Quantization Specification.- Security Considerations for the Implementation of Biometric Systems.- Fingerprint Interoperability Standards.
Synopsis
An authoritative survey of automatic fingerprint-recognition concepts, technology, and systems. Editors and contributors are the leading researchers and applied R&D developers of this physical identification (biometric security) topic and technology. Biometrics and pattern recognition researchers, professionals, and systems developers will find the book an indispensable resource for current knowledge, technology, and techniques in the field., An authoritative survey of intelligent fingerprint-recognition concepts, technology, and systems is given. Editors and contributors are the leading researchers and applied R&D developers of this personal identification (biometric security) topic and technology. Biometrics and pattern recognition researchers and professionals will find the book an indispensable resource for current knowledge and technology in the field., Advances in automatic ?ngerprint recognition are driven by improved ?ngerprint sensing and advancements in areas such as computer architecture, pattern recog- tion, image processing, and computer vision. In addition to the new developments in science and technology, several recent social and political events have increased the level of interest in ?ngerprint recognition for the purpose of positive person ident- cation. This heightened interest in ?ngerprint technology and its promise to deliver cost-effectivesolutionshavepromptedustoundertaketheendeavortoeditthisbook. Andindeed,wehavebeenluckytoconvincetopexpertsintheworldtowrite21ch- ters on a wide variety of ?ngerprint topics, ranging from the history of ?ngerprints to evolving ?ngerprint standards in a networked society. The chapters are loosely arranged according to the stages of a pattern recognition system;inotherwords,followingthetypicalprocessingstepsofautomated'ngerprint recognition systems. Chapter 1 by Simon Cole summarizes the history of ?ngerprint recognition and its social signi'cance. Inkless ?ngerprint sensing has greatly contributed to the - tomation efforts; Dale Setlak, in Chapter 2, presents new developments in inkless ?ngerprint sensing with speci'c emphasis on RF (radio frequency) imaging te- niques. Once the ?ngerprint has been acquired, the signal often needs to be enhanced (preprocessed) based on automated assessment of the image quality. Chapter 3, wr- ten by Michael Yao, Sharath Pankanti, and Norman Haas, describes an approach to quantify the quality of a ?ngerprint image. A related issue in ?ngerprint image - quisition is to detect distortion of the ?ngerprint; in Chapter 4, Chitra Dorai, Nalini Ratha, and Ruud Bolle describe a method of detecting ?ngerprint image distortion using streaming ?ngerprint images.
LC Classification Number
Q337.5
Item description from the seller
Seller Feedback
No feedback yet
More to explore :
- Healthcare System Study Guides & Test Prep,
- Healthcare System Study Hardcovers Prep,
- Healthcare System Study Paperbacks Prep,
- Nonfiction Books Fiction & Operating Systems,
- Computer & IT Nonfiction Books Fiction & Operating Systems,
- Computer & IT Nonfiction Books in English Fiction & Operating Systems,
- Computer & IT Operating Systems Paperback Fiction & Nonfiction Books,
- Computer & IT Nonfiction Books Illustrated Fiction & Operating Systems,
- Operating Systems Paperback Nonfiction Books & Fiction 1950-1999 Publication Year,
- Computer & IT Nonfiction Books & Fiction Operating Systems 1950-1999 Publication Year