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Feature based RDWT watermarking for multimodal biometric system by Mayank Vatsa; Richa Singh; Afzel Noore is a Computer Science article available to read on EtoBox.
What is Feature based RDWT watermarking for multimodal biometric system about?
This paper presents a 3-level RDWT biometric watermarking algorithm to embed the voice biometric MFC coefficients in a color face image of the same individual for increased robustness, security and accuracy. Phase congruency model is used to compute the embedding locations which preserves the facial features from being watermarked and ensures that the face recognition accuracy is not compromised. The proposed watermarking algorithm uses adaptive user-specific watermarking parameters for improved performance. Using face, voice and multimodal recognition algorithms, and statistical evaluation, we show that the proposed RDWT watermarking algorithm is robust to different frequency and geometric attacks, and provides the multimodal biometric verification accuracy of 94%.
Who reads Feature based RDWT watermarking for multimodal biometric system?
It is typically read by researchers, students, and practitioners in Computer Science.
- Author
- Mayank Vatsa; Richa Singh; Afzel Noore
- Publisher
- Elsevier Science; Elsevier ; Elsevier BV (ISSN 0262-8856)
- Published
- 2009
- Language
- EN
- Field
- Computer Science (Physical Sciences)