检索结果-内蒙古大学图书馆

30th European Signal Processing Conference (EUSIPCO)

作者： Lorch, Benedikt Scheler, Nicole Riess, Christian Friedrich Alexander Univ IT Secur Infrastruct Lab Erlangen Germany Friedrich Alexander Univ Int Criminal Law Res Unit Erlangen Germany

ISBN: (纸本)9789082797091

In many applications of forensic image analysis, state-of-the-art results are nowadays achieved with machine learning methods. However, concerns about their reliability and opacity raise the question whether such methods can be used in criminal investigations. So far, this question of legal compliance has hardly been discussed, also because legal regulations for machine learning methods were not defined explicitly. To this end, the European Commission recently proposed the artificial intelligence (AI) act, a regulatory framework for the trustworthy use of AI. Under the draft AI act, high-risk AI systems for use in law enforcement are permitted but subject to compliance with mandatory requirements. In this paper, we review why the use of machine learning in forensic image analysis is classified as high-risk. We then summarize the mandatory requirements for high-risk AI systems and discuss these requirements in light of two forensic applications, license plate recognition and deep fake detection. The goal of this paper is to raise awareness of the upcoming legal requirements and to point out avenues for future research.

关键词： forensic image analysis artificial intelligence act

来源：评论

学校读者我要写书评

暂无评论

Detection of Tampered Region Boundaries in Splicing Forgery images 28

Detection of Tampered Region Boundaries in Splicing Forgery ...

引用

28th Signal Processing and Communications Applications Conference (SIU)

作者： Mutlu, Ozlem Genc, Yakup Gebze Tekn Univ Dept Comp Engn Kocaeli Turkey

ISBN: (纸本)9781728172064

The development of technology caused a significant increase in the use of images in forensic cases. It is common that manipulated images are presented as evidence in courts which requires an authenticity check. In this study, we analyze splicing forgeries where the manipulations are obtained by combining different images. The proposed method divides the original images and the manipulated images into small sub-blocks. After the distinctive statistical information of the images is extracted using ELA (Error Level analysis), the necessary discrimitative information is learned using a convolutional neural network. The method was tested on the CASIA dataset and is shown to perform comparable or better than some existing methods.

关键词： forensic image analysis image Splicing Error Level analysis Convolutional Neural Networks

来源：评论

学校读者我要写书评

暂无评论

Data hiding technique in steganography for information security using number theory

引用

JOURNAL OF INFORMATION SCIENCE 2019年第6期45卷 767-778页

作者： Rehman, Amjad Saba, Tanzila Mahmood, Toqeer Mehmood, Zahid Shah, Mohsin Anjum, Adeel Al Yamamah Univ Riyadh CCIS Riyadh Saudi Arabia Prince Sultan Univ Dept Informat Syst CCIS Riyadh Saudi Arabia Univ Engn & Technol Dept Comp Sci Taxila Pakistan Univ Engn & Technol Dept Software Engn Taxila Pakistan Univ Sci & Technol China Sch Informat Sci & Technol Hefei Anhui Peoples R China Hazara Univ Masehra Dept Telecommun Masehra Khyber Pakhtunk Pakistan COMSATS Univ Islamabad Dept Comp Sci Islamabad Pakistan

In the current era, due to the widespread availability of the Internet, it is extremely easy for people to communicate and share multimedia contents with each other. However, at the same time, secure transfer of personal and copyrighted material has become a critical issue. Consequently, secure means of data transfer are the most urgent need of the time. Steganography is the science and art of protecting the secret data from an unauthorised access. The steganographic approaches conceal secret data into a cover file of type audio, video, text and/or image. The actual challenge in steganography is to achieve high robustness and capacity without bargaining on the imperceptibility of the cover file. In this article, an efficient steganography method is proposed for the transfer of secret data in digital images using number theory. For this purpose, the proposed method represents the cover image using the Fibonacci sequence. The representation of an image in the Fibonacci sequence allows increasing the bit planes from 8-bit to 12-bit planes. The experimental results of the proposed method in comparison with other existing steganographic methods exhibit that our method not only achieves high embedding of secret data but also gives high quality of stego images in terms of peak signal-to-noise ratio (PSNR). Furthermore, the robustness of the technique is also evaluated in the presence of salt and pepper noise attack on the cover images.

关键词： Data hiding forensic image analysis statistical techniques steganography

来源：评论

学校读者我要写书评

暂无评论

A Novel Multimedia-forensic analysis Tool (M-FAT) 12

A Novel Multimedia-Forensic Analysis Tool (M-FAT)

引用

12th International Conference on Internet Technology and Secured Transactions (ICITST)

作者： Mashhadani, Shahlaa Al-Kawaz, Hiba Clarke, Nathan Furnell, Steven Li, Fudong Plymouth Univ Ctr Secur Commun & Network Res Plymouth Devon England Coll Educ Pure Sci Comp Sci Dept Baghdad Iraq Baghdad Univ Comp Sci Dept Coll Sci Women Baghdad Iraq Edith Cowan Univ Secur Res Inst Perth WA Australia Nelson Mandela Metropolitan Univ Ctr Res Informat & Cyber Secur Port Elizabeth South Africa

ISBN: (纸本)9781908320933

Digital forensics has become a fundamental requirement for law enforcement due to the growing volume of cyber and computer-assisted crime. Whilst existing commercial tools have traditionally focused upon string-based analyses (e.g., regular expressions, keywords), less effort has been placed towards the development of multimedia-based analyses. Within the research community, more focus has been attributed to the analysis of multimedia content;they tend to focus upon highly specialised specific scenarios such as tattoo identification, number plate recognition, suspect face recognition and manual annotation of images. Given the ever-increasing volume of multimedia content, it is essential that a holistic Multimedia-forensic analysis Tool (M-FAT) is developed to extract, index, analyse the recovered images and provide an investigator with an environment with which to ask more abstract and cognitively challenging questions of the data. This paper proposes such a system, focusing upon a combination of object and facial recognition to provide a robust system. This system will enable investigators to perform a variety of forensic analyses that aid in reducing the time, effort and cognitive load being placed on the investigator to identify relevant evidence.

关键词： Multimedia forensic image analysis Annotation Face Recognition

来源：评论

学校读者我要写书评

暂无评论

Suspect Camera Determination 24

Suspect Camera Determination

引用

24th Signal Processing and Communication Application Conference (SIU)

作者： Yasar, Adem Deniz, Faruk Doru, Mehmet Jandarma Kriminal Daire Baskanligi Ankara Turkey

ISBN: (纸本)9781509016792

In this study;photograph and photograph frames taken from videos were examined for suspect camera detection. These analyses were carried out on examples taken from 15 cameras, 1 video camera and 7 mobile phones. Two methods were used for suspect camera detection. Firstly, to detect dead pixel. In dead pixel analyses first step is detecting whether there is a dead pixcel on photographs by way of using some software (ex: dead ***). If there is a dead pixel, second step is to determine the location of this dead pixel on x-y coordination system. Secondly;it is a examination that is carried out on photographs/images taken from suspect cameras by using Quantitation, Exif, Average and PRNUC filters belonging to FIAS (forensic Imaging analysis System). As a result;in the light of the findings obtained, it is evaluated that suspect camera detection analysis can contribute to forensic digital imaging examining field.

关键词： forensic image analysis Camera Suspect Camera Dead Pixel FIAS / Quantization Table Average Exif PRNUC

来源：评论

学校读者我要写书评

暂无评论

Ruler Detection for Autoscaling forensic images

引用

INTERNATIONAL JOURNAL OF DIGITAL CRIME AND forensicS 2014年第1期6卷 9-27页

作者： Bhalerao, Abhir Reynolds, Gregory Univ Warwick Dept Comp Sci Coventry W Midlands England Pattern Analyt Res Ltd Solihull W Midlands England

The assessment of forensic photographs often requires the calibration of the resolution of the image so that accurate measurements can be taken of crime-scene exhibits or latent marks. In the case of latent marks, such as fingerprints, image calibration to a given dots-per-inch is a necessary step for image segmentation, preprocessing, extraction of feature minutiae and subsequent fingerprint matching. To enable scaling, such photographs are taken with forensic rulers in the frame so that image pixel distances can be converted to standard measurement units (metric or imperial). In forensic bureaus, this is commonly achieved by manual selection of two or more points on the ruler within the image, and entering the units of the measure distance. The process can be laborious and inaccurate, especially when the ruler graduations are indistinct because of poor contrast, noise or insufficient resolution. Here the authors present a fully automated method for detecting and estimating the direction and graduation spacing of rulers in forensic photographs. The method detects the location of the ruler in the image and then uses spectral analysis to estimate the direction and wavelength of the ruler graduations. The authors detail the steps of the algorithm and demonstrate the accuracy of the estimation on both a calibrated set of test images and a wide collection of good and poor quality crime-scene images. The method is shown to be fast and accurate and has wider application in other imaging disciplines, such as radiography, archaeology and surveying.

关键词： Autoscaling forensic image analysis Fundamental Frequency/Pitch Detection Method Ruler Detection

来源：评论

学校读者我要写书评

暂无评论

Case studies and further improvements on source camera identification

Case studies and further improvements on source camera ident...

引用

Conference on Media Watermarking, Security, and forensics

作者： Kurosawa, Kenji Kuroki, Kenro Tsuchiya, Ken'ichi Igarashi, Naoaki Akiba, Norimitsu Natl Res Inst Police Sci Phys Sect Kashiwa Chiba 2770882 Japan

ISBN: (纸本)9780819494382

Actual case examples and further improvements on source camera identification are shown. There are three specific topics in this paper: (a) In order to improve performance of source camera identification, the hybrid identification scheme using both dark current non-uniformity (DCNU) and photo-response non-uniformity (PRNU) is proposed. The experimental results indicated that identification performance would be improved by properly taking advantage of their features;(b) Source camera identification using non-uniform nature of the CCD charge transfer circuit is proposed. The experimental results with twenty CCD modules of the same model showed that individual camera identification for dark images was possible by the proposed method. Furthermore, it was shown that the proposed method had higher discrimination capability than the method using pixel non-uniformity when the number of recorded image was small;(c) The authors have been performed source camera identification in the five actual criminal cases, such as homicide case, and so on. The analytical procedure was a sequential examination of hot pixel coordinates validation followed by the similarity evaluation of sensor noise pattern. The authors could clearly prove that the questioned criminal scenes had been recorded by the questioned cameras in four cases of the five.

关键词： forensic image analysis camera identification sensor noise hot pixel CCD charge transfer DCNU PRNU case example

来源：评论

学校读者我要写书评

暂无评论

Ear biometrics: a survey of detection, feature extraction and recognition methods

引用

IET BIOMETRICS 2012年第2期1卷 114-129页

作者： Pflug, A. Busch, C. CASED Hsch Darmstadt D-64295 Darmstadt Germany

The possibility of identifying people by the shape of their outer ear was first discovered by the French criminologist Bertillon, and refined by the American police officer Iannarelli, who proposed a first ear recognition system based on only seven features. The detailed structure of the ear is not only unique, but also permanent, as the appearance of the ear does not change over the course of a human life. Additionally, the acquisition of ear images does not necessarily require a person's cooperation but is nevertheless considered to be non-intrusive by most people. Owing to these qualities, the interest in ear recognition systems has grown significantly in recent years. In this survey, the authors categorise and summarise approaches to ear detection and recognition in 2D and 3D images. Then, they provide an outlook over possible future research in the field of ear recognition, in the context of smart surveillance and forensic image analysis, which they consider to be the most important application of ear recognition characteristic in the near future.

关键词： ear biometrics forensic science forensic image analysis biometrics (access control) image recognition smart surveillance image recognition recognition method Computer vision and image processing techniques feature extraction ear images ear ear recognition system

来源：评论

学校读者我要写书评

暂无评论

Original or manipulated? Authenticity and integrity of digital images from a forensic perspective

引用

RECHTSMEDIZIN 2010年第5期20卷 385-392页

作者： Ramsthaler, F. Kettner, M. Potente, S. Gehl, A. Kreutz, K. Verhoff, M. A. Univ Giessen Inst Rechtsmed D-35392 Giessen Germany Univ Frankfurt Main Zentrum Rechtsmed Frankfurt Germany Univ Hamburg Eppendorf Inst Rechtsmed Hamburg Germany Inst Forens Anthropol Wettenberg Germany

A prerequisite for the evaluation of the content of digital photographs is that the photo itself is authentic and has not been tampered with. The forensic analysis of photographs to establish whether a concealed but deliberate manipulation has taken place is based either on procedures that statistically evaluate pixels and color spaces or on morphological, biometrical and geometrical comparisons in which, for example, conspicuous repetitions of certain image portions, inconsistencies in perspective, incongruous directional lighting or unexpected shadows are looked for. This paper presents methods and procedures that can help in differentiating between authentic photographs which have not been tampered with and forgeries, i.e. photographs which have been subject to manipulation. As the authenticity and integrity of photographic material is also of importance in a forensic context, users should make every effort to ensure the authenticity of digital images and the resolve to further develop the necessary technologies should be strengthened.

关键词： forensic image analysis Digital images Manipulation Authenticity Integrity

来源：评论

学校读者我要写书评

暂无评论

Poor reliability of facial indices for comparative metric facial identification without parametrical superimposition

引用

forensic Science, Medicine, and Pathology 2007年第4期3卷 275-282页

作者： Introna, Francesco De Donno, Antonio Santoro, Valeria Carbonara, Monica Section of Legal Medicine DiMIMP University of Bari Bari 70124 P.zza Giulio Cesare n.11 Italy Department of Statistic Science c/o Section of Legal Medicine University of Bari Bari 70124 P.zza Giulio Cesare n.11 Italy

The relationship between the craniometric indices that can be evinced from the comparison of two faces for identification purposes is considered a reliable method for the personal identification of faces. Our study aims to assess whether facial indices are susceptible to substantial variations even if the two faces being compared are a different size, looking in a different direction, or differently angled. Our results showed high variability as regards both the facial indices thus obtained and the relative relations. This underlines the fact that regardless of the validity of the metric analysis method used, no numerical comparison can be reliable unless prior parametrical somato-physical superimposition of the images of the subjects has been performed to assess the complete comparability of the faces of the suspects. In conclusion, no reliable identification can be made with the simplified techniques that bypass this difficult, demanding and time-consuming phase of parametric superimposition, as we have shown that they can lead to gross errors. © 2007 Humana Press Inc.

关键词： Facial indices forensic image analysis Personal identification

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：