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Titlebook: Computational Forensics; Third International Zeno J. M. H. Geradts,Katrin Y. Franke,Cor J. Veen Conference proceedings 2009 Springer-Verla

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書(shū)目名稱(chēng)Computational Forensics
副標(biāo)題Third International
編輯Zeno J. M. H. Geradts,Katrin Y. Franke,Cor J. Veen
視頻videohttp://file.papertrans.cn/233/232315/232315.mp4
叢書(shū)名稱(chēng)Lecture Notes in Computer Science
圖書(shū)封面Titlebook: Computational Forensics; Third International  Zeno J. M. H. Geradts,Katrin Y. Franke,Cor J. Veen Conference proceedings 2009 Springer-Verla
描述This book constitutes the refereed proceedings of the Third International Workshop, IWCF 2009, held in The Hague, The Netherlands, August 13-14, 2009. The 16 revised full papers presented were carefully reviewed and are organized in topical sections on speech and linguistics, fingerprints, handwriting, documents, printers, multimedia and visualization. This volume is interesting to researchers and professionals who deal with forensic problems using computational methods. Its primary goal is the discovery and advancement of forensic knowledge involving modeling, computer simulation, and computer-based analysis and recognition in studying and solving forensic problems.
出版日期Conference proceedings 2009
關(guān)鍵詞Support Vector Machine; authorship attribution; biometric evidence; fingerprint; forgery; handwriting ana
版次1
doihttps://doi.org/10.1007/978-3-642-03521-0
isbn_softcover978-3-642-03520-3
isbn_ebook978-3-642-03521-0Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2009
The information of publication is updating

書(shū)目名稱(chēng)Computational Forensics影響因子(影響力)




書(shū)目名稱(chēng)Computational Forensics影響因子(影響力)學(xué)科排名




書(shū)目名稱(chēng)Computational Forensics網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱(chēng)Computational Forensics網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱(chēng)Computational Forensics被引頻次




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Computational Forensics978-3-642-03521-0Series ISSN 0302-9743 Series E-ISSN 1611-3349
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Random elements in linear spaces,(trace). This paper aims at presenting forensic automatic speaker recognition (FASR) methods that provide a coherent way of quantifying and presenting recorded voice as biometric evidence. In such methods, the biometric evidence consists of the quantified degree of similarity between speaker-depende
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Stochastic Cooling of Particle Beamsages. These types of messages can easily be adjusted, such that meta data referring to names and addresses is at least unreliable. In this paper, we propose a method to identify authors of short informal messages solely based on the text content. The method uses compression distances between texts a
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Stochastic Cooling of Particle Beamsmaximum entropy spectral analysis. The purpose of this study is to improve the efficiency of inkjet printer model identification based on spur mark comparison in the field of forensic document analysis. Experiments were performed using two spur gears in different color inkjet printer models, and eig
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https://doi.org/10.1007/978-1-4615-4115-8nly found types of forensic evidence. The similarity between twins’ prints is critical establish to the reliability of fingerprint identification. We present a quantitative analysis of the discriminability of twin fingerprints on a new data set (227 pairs of identical twins and fraternal twins) rece
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