Cancelable Speaker Identification System Based on Optical-Like Encryption Algorithms

نویسندگان

چکیده

Biometric authentication is a rapidly growing trend that gaining increasing attention in the last decades. It achieves safe access to systems using biometrics instead of traditional passwords. The utilization biometric its original format makes it usable only once. Therefore, cancelable template should be used, so can replaced when attacked. Cancelable aims enhance security and privacy authentication. Digital encryption an efficient technique used order generate templates. In this paper, highly-secure algorithm proposed ensure secure data verification systems. considered paper speech signal. signal transformed into spectrogram. Then, spectrogram encrypted two cascaded optical algorithms. first Optical Scanning Holography (OSH) for efficiency as tool. OSH Double Random Phase Encoding (DRPE) by implementing Masks (RPMs). After algorithms, obtained. implemented through correlation estimation between enrolled test templates their format. If value larger than threshold value, user authorized. determined from genuine imposter distribution curves midpoint curves. implementation adopted software rather setup. illustrated simulation results. improve without deteriorating recognition accuracy. Simulation results give close-to-zero values Equal Error Rate (EER) close-to-one Area under Receiver Operator Characteristic (AROC) curve.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Palmprint based Cancelable Biometric Authentication System

A cancelable palmprint authentication system proposed in this paper is specifically designed to overcome the limitations of the contemporary biometric authentication system. In this proposed system, Geometric and pseudo Zernike moments are employed as feature extractors to transform palmprint image into a lower dimensional compact feature representation. Before moment computation, wavelet trans...

متن کامل

Robust Speaker Identification System Based on Two-Stage Vector Quantization

This paper presents an effective method for speaker identification system. Based on the wavelet transform, the input speech signal is decomposed into several frequency bands, and then the linear predictive cepstral coefficients (LPCC) of each band are calculated. Furthermore, the cepstral mean normalization technique is applied to all computed features in order to provide similar parameter stat...

متن کامل

Two-stage speaker identification system based on VQ and NBDGMM

In this paper, a new speaker identification system is presented. The system can be divided into two subsystems, one close-set speaker identification system and one speaker verification system. The VQ model is used in the close-set speaker identification system and a new method called NBDGMM (Normalization Based on Difference of GMM) is introduced. Experiments have been done to prove that this s...

متن کامل

Enhanced VQ-Based Algorithms for Speech Independent Speaker Identification

Weighted distance measure and discriminative training are two different approaches to enhance VQ-based solutions for speaker identification. To account for varying importance of the LPC coefficients in SV, the so-called partition normalized distance measure successfully used normalized feature components. This paper introduces an alternative, called heuristic weighted distance, to lift up highe...

متن کامل

Comparison of Clustering Algorithms for Speaker Identification

In this paper we consider the problem of text-independent speaker identification that refers to acoustic recognition research. Many different techniques have been presented over past several decades. A stateof-the-art technique uses Gaussian Mixtures (GMM) for modeling speaker data distribution presented by MFCC [1] or LPCC [2] features. The classification is obtained by choosing the speaker cl...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Computer systems science and engineering

سال: 2022

ISSN: ['0267-6192']

DOI: https://doi.org/10.32604/csse.2022.022722