Sinossi
In present scenario biometric systems are widely used in various applications, but the recent biometric technology faces security issues like stored biometric template attack, where the original data is tampered such that it cannot be retrieved and the storage space issues like requirement of large storage space for biometric data of large population. To avoid such security and compression issues a novel method is proposed. The proposed Peppy Wavelet Watermarking Algorithm (PWWA) is based on Discrete Wavelet Transform (DWT) and Discrete Cosine Transform (DCT) watermarking techniques which combines the virtues of CSPRNG-2 and GDA to provide efficient watermarking. The watermark image is recovered by reverse embedding procedure utilizing the proposed Peppy Wavelet Watermark Extraction Algorithm (PWWEA). To verify the performance, various types of noises are added to the embedded image and recovery operation is performed. The performance parameters are then evaluated for comparison.
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In present scenario biometric systems are widely used in various applications, but the recent biometric technology faces security issues like stored biometric template attack, where the original data is tampered such that it cannot be retrieved and the storage space issues like requirement of large storage space for biometric data of large population. To avoid such security and compression issues a novel method is proposed. The proposed Peppy Wavelet Watermarking Algorithm (PWWA) is based on Discrete Wavelet Transform (DWT) and Discrete Cosine Transform (DCT) watermarking techniques which combines the virtues of CSPRNG-2 and GDA to provide efficient watermarking. The watermark image is recovered by reverse embedding procedure utilizing the proposed Peppy Wavelet Watermark Extraction Algorithm (PWWEA). To verify the performance, various types of noises are added to the embedded image and recovery operation is performed. The performance parameters are then evaluated for comparison. 164 pp. Englisch. Codice articolo 9786202531177
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: K.S. AbhilashDr. Abhilash K.S obtained his PhD Degree from Noorul Islam University. Currently, he is the Principal at Jai Bharath College of Management and Engineering Technology. Dr. Shijin Kumar P.S. obtained his PhD Degree from No. Codice articolo 385946765
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Taschenbuch. Condizione: Neu. Compression and Security of Biometric Images | Abhilash K. S. (u. a.) | Taschenbuch | 164 S. | Englisch | 2020 | LAP LAMBERT Academic Publishing | EAN 9786202531177 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Codice articolo 118453842
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Compression and Security of Biometric Images
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In present scenario biometric systems are widely used in various applications, but the recent biometric technology faces security issues like stored biometric template attack, where the original data is tampered such that it cannot be retrieved and the storage space issues like requirement of large storage space for biometric data of large population. To avoid such security and compression issues a novel method is proposed. The proposed Peppy Wavelet Watermarking Algorithm (PWWA) is based on Discrete Wavelet Transform (DWT) and Discrete Cosine Transform (DCT) watermarking techniques which combines the virtues of CSPRNG-2 and GDA to provide efficient watermarking. The watermark image is recovered by reverse embedding procedure utilizing the proposed Peppy Wavelet Watermark Extraction Algorithm (PWWEA). To verify the performance, various types of noises are added to the embedded image and recovery operation is performed. The performance parameters are then evaluated for comparison.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 164 pp. Englisch. Codice articolo 9786202531177
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In present scenario biometric systems are widely used in various applications, but the recent biometric technology faces security issues like stored biometric template attack, where the original data is tampered such that it cannot be retrieved and the storage space issues like requirement of large storage space for biometric data of large population. To avoid such security and compression issues a novel method is proposed. The proposed Peppy Wavelet Watermarking Algorithm (PWWA) is based on Discrete Wavelet Transform (DWT) and Discrete Cosine Transform (DCT) watermarking techniques which combines the virtues of CSPRNG-2 and GDA to provide efficient watermarking. The watermark image is recovered by reverse embedding procedure utilizing the proposed Peppy Wavelet Watermark Extraction Algorithm (PWWEA). To verify the performance, various types of noises are added to the embedded image and recovery operation is performed. The performance parameters are then evaluated for comparison. Codice articolo 9786202531177
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