Multimodal Biometric Watermarking Models

S. Anu H Nair

ISBN 10: 6200000719 / ISBN 13: 9786200000712

Published by LAP LAMBERT Academic Publishing Jul 2019, 2019

About this Item

This item is printed on demand - Print on Demand Titel. Neuware -Digital watermarking is the technology of embedding information (i.e., watermark or host image) into the multimedia data (such as image, audio, video, and text), called cover image. It is realized by embedding data that is invisible to the human visual system into a host image. Watermarking techniques have been used in multimodal biometric systems for the purpose of protecting and authenticating biometric data and enhancing accuracy of identification. A multimodal biometric system combines two or more biometric data recognition results such as a combination of a subject's fingerprint, iris and palmprint. This increases the reliability of personal identification system that discriminates between an authorized person and a fraudulent person.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 192 pp. Englisch.

Seller Inventory # 9786200000712

Bibliographic Details

• Title: Multimodal Biometric Watermarking Models
• Publisher: LAP LAMBERT Academic Publishing Jul 2019
• Publication Date: 2019
• Language: English
• ISBN 10: 6200000719
• ISBN 13: 9786200000712
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 13D millimeters 220 millimeters width by 150 millimeters height by 13 millimeters depth
• Weight: 304 grams

About this title

Synopsis

Digital watermarking is the technology of embedding information (i.e., watermark or host image) into the multimedia data (such as image, audio, video, and text), called cover image. It is realized by embedding data that is invisible to the human visual system into a host image. Watermarking techniques have been used in multimodal biometric systems for the purpose of protecting and authenticating biometric data and enhancing accuracy of identification. A multimodal biometric system combines two or more biometric data recognition results such as a combination of a subject's fingerprint, iris and palmprint. This increases the reliability of personal identification system that discriminates between an authorized person and a fraudulent person.