Recent Advances in Biometrics [Working Title]最新文献

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Feature Extraction Using Observer Gaze Distributions for Gender Recognition 基于观察者注视分布的特征提取用于性别识别

Recent Advances in Biometrics [Working Title] Pub Date : 2022-02-04 DOI: 10.5772/intechopen.101990

Masashi Nishiyama

引用次数: 0

A Voice Signal Filtering Methods for Speaker Biometric Identification 一种用于说话人生物识别的语音信号滤波方法

Recent Advances in Biometrics [Working Title] Pub Date : 2022-02-03 DOI: 10.5772/intechopen.101975

E. Fedorov, T. Utkina, Tetyana Neskorodeva

{"title":"A Voice Signal Filtering Methods for Speaker Biometric Identification","authors":"E. Fedorov, T. Utkina, Tetyana Neskorodeva","doi":"10.5772/intechopen.101975","DOIUrl":"https://doi.org/10.5772/intechopen.101975","url":null,"abstract":"The preliminary stage of the personality biometric identification on a voice is voice signal filtering. For biometric identification are considered and in number investigated the following methods of noise suppression in a voice signal. The smoothing adaptive linear time filtering (algorithm of the minimum root mean square error, an algorithm of recursive least squares, an algorithm of Kalman filtering, a Lee algorithm), the smoothing adaptive linear frequency filtering (the generalized method, the MLEE (maximum likelihood envelope estimation) method, a wavelet analysis with threshold processing (universal threshold, SURE (Stein’s Unbiased Risk Estimator)-threshold, minimax threshold, FDR (False Discovery Rate)-threshold, Bayesian threshold were used), the smoothing non-adaptive linear time filtering (the arithmetic mean filter, the normalized Gauss’s filter, the normalized binomial filter), the smoothing nonlinear filtering (geometric mean filter, the harmonic mean filter, the contraharmonic filter, the α-trimmed mean filter, the median filter, the rank filter, the midpoint filter, the conservative filter, the morphological filter). Results of a numerical research of denoising methods for voice signals people from the TIMIT (Texas Instruments and Massachusetts Institute of Technology) database which were noise an additive Gaussian noise and multiplicative Gaussian noise were received.","PeriodicalId":180604,"journal":{"name":"Recent Advances in Biometrics [Working Title]","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131306481","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Biometric-Based Human Recognition Systems: An Overview 基于生物特征的人类识别系统:综述

Recent Advances in Biometrics [Working Title] Pub Date : 2022-01-15 DOI: 10.5772/intechopen.101686

David Palma, Pier Luca Montessoro

{"title":"Biometric-Based Human Recognition Systems: An Overview","authors":"David Palma, Pier Luca Montessoro","doi":"10.5772/intechopen.101686","DOIUrl":"https://doi.org/10.5772/intechopen.101686","url":null,"abstract":"With the proliferation of automated systems for reliable and highly secure human authentication and identification, the importance of technological solutions in biometrics is growing along with security awareness. Indeed, conventional authentication methodologies, consisting of knowledge-based systems that make use of something you know (e.g., username and password) and token-based systems that make use of something you have (e.g., identification card), are not able to meet the strict requirements of reliable security applications. Conversely, biometric systems make use of behavioral (extrinsic) and/or physiological (intrinsic) human characteristics, overcoming the security issues affecting the conventional methods for personal authentication. This book chapter provides an overview of the most commonly used biometric traits along with their properties, the various biometric system operating modalities as well as various security aspects related to these systems. In particular, it will be discussed the different stages involved in a biometric recognition process and further discuss various threats that can be exploited to compromise the security of a biometric system. Finally, in order to evaluate the systems’ performance, metrics must be adopted. The most widely used metrics are, therefore, discussed in relation to the provided system accuracy and security, and applicability in real-world deployments.","PeriodicalId":180604,"journal":{"name":"Recent Advances in Biometrics [Working Title]","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121880885","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5