Multimodal biometric image watermarking using two-stage integrity verification
| Autor: | Won-gyum Kim, Heungkyu Lee |
|---|---|
| Rok vydání: | 2009 |
| Předmět: |
Biometrics
business.industry Computer science Feature vector Data_MISCELLANEOUS Fingerprint (computing) Feature extraction ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Thumbnail Watermark Control and Systems Engineering Multimodal biometrics Fingerprint Signal Processing Pattern recognition (psychology) Computer vision Computer Vision and Pattern Recognition Artificial intelligence Electrical and Electronic Engineering business Digital watermarking Software |
| Zdroj: | Signal Processing. 89:2385-2399 |
| ISSN: | 0165-1684 |
| DOI: | 10.1016/j.sigpro.2009.04.014 |
| Popis: | In this paper, we propose multimodal biometric image watermarking scheme through a two-stage integrity verification method using the hidden thumbnail feature vectors for safe authentication of multimodal biometrics data, face and fingerprint, respectively. It is basically blind and spread spectrum-based robust watermarking method. The proposed method enables us to detect a tampered region by controlling watermark embedding strength to meet the requirement of predefined watermark extraction threshold. The key idea is that the thumbnail feature vectors of a face image as a watermark pattern are utilized by embedding into a fingerprint image in order to verify the integrity of respective biometric data. The first stage of integrity verification for a fingerprint image is done by deciding the validity of extracted thumbnail patterns. The second stage of integrity verification for a face image is done by one-to-one matching between the thumbnail feature vectors extracted from a face image and the thumbnail one of the received face image. Experimental results showed that the proposed method has a high detection rate of the forged biometric data and guarantees the security assurance. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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