
Computational Forensics
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Content
- Title
- Preface
- Organization
- Table of Contents
- Invited Talks
- Gestalt Aspects of Security Patterns
- Introduction
- Example Pattern Problems
- Gestalt Principles in Pattern Processing
- Methodological Approaches to Gestalt
- Image Processing Approaches
- Neural Models
- Outlook
- Conclusions
- References
- Physical Security Technologies at Hitachi
- Introduction
- Real-Time Monitoring Mass Spectrometry
- Real-Time Monitoring Mass Spectrometry for Highly Sensitive Detection of Organic Compounds
- Real-Time Monitoring Mass Spectrometry for Water Clusters in Breath
- Applications
- Applications of Real-Time Monitoring Mass Spectrometry for Highly Sensitive Detection of Organic Compounds
- Applications of Real-Time Monitoring Mass Spectrometry for Analyzing Water Clusters
- Conclusions
- References
- Session 1: Authentication
- Exploiting Character Class Information in Forensic Writer Identification
- Introduction
- System Description
- Pre-processing Stage
- Feature Extraction Stage
- Feature Matching Stage
- Experimental Framework
- Database
- Writer Identity Modeling
- Results
- Conclusions and Future Work
- References
- Toward Forensics by Stroke Order Variation - Performance Evaluation of Stroke Correspondence Methods
- Introduction
- Stroke Correspondence Methods
- General Problem of Determining Optimal Stroke Correspondence
- Individual Correspondence Decision (ICD) Odaka,Wakahara
- Cube Search (CS) Sakoe1,Cai
- Bipartite Weighted Matching (BWM) Hsieh
- Stable Marriage (SM) Yokota
- Deviation-Expansion Model (DE) Lin
- Computational Complexity
- Comparative Experiment
- Experimental Setup
- Experimental Results
- Discussions
- Conclusion
- References
- A Novel Seal Imprint Verification Method Based on Analysis of Difference Images and Symbolic Representation
- Introduction
- Feature Extraction for Seal Verification
- Pre-processing for Feature Extraction
- Statistical Feature Extraction from Difference Images
- Classification for Seal Verification
- Symbolic Representation Based Classification
- Seal-Dependent Acceptance Count Threshold Design
- Experiments
- The Data Set
- Experiments on Control Scalars
- Performance Comparison
- Conclusions
- References
- Session 2: Biometrics1
- Extraction of 3D Shape of a Tooth from Dental CT Images with Region Growing Method
- Introduction
- Proposed Method
- Contrast Enhancement
- Smoothing
- Clustering
- Region Growing
- Active Contour Method
- Experiment
- Conclusions
- References
- Cancellable Face Biometrics System by Combining Independent Component Analysis Coefficients
- Introduction
- Cancellable Biometrics for Appearance Based Face Recognition
- Independent Component Analysis
- Cancellable Face Biometrics Using ICA Coefficients
- Experiments
- Database
- Matching Performance
- Changeability
- Reproducibility
- Conclusion
- References
- Footwear Print Retrieval System for Real Crime Scene Marks
- Introduction
- Feature Extraction
- Line Detection and Circle Detection
- Ellipse Detection
- Attributed Relational Graph (ARG)
- Footwear Print Distance (FPD)
- Clustering Footwear Prints
- Experiments and Results
- Conclusion
- References
- Session 3: Documents
- Improvement of Inkjet Printer Spur Gear Teeth Number Estimation by Fixing the Order in Maximum Entropy Spectral Analysis
- Introduction
- Materials and Method
- Samples for Analysis
- Maximum Entropy Spectral Analysis of Pitch Data Strings
- Estimation of Teeth Number by Maximum Entropy Spectrum
- Results and Discussion
- Conclusion
- References
- Detecting Indentations on Documents Pressed by Pen Tip Force Using a Near Infrared Light Emitting Diode (NIR LED) and Shape from Shading
- Introduction
- Materials and Method
- NIR LED and CCD Camera Used in the Experience
- Samples for Analysis
- Observation of a Brightness Profile under the NIR LED Illumination
- Measurement of Real Indentation Profile by a Confocal Laser Microscope
- Application of Optical Model
- Comparison between Simulated Brightness Profile and Real Profile
- Reconstruction of Indentation Profiles
- Results and Discussion
- References
- Session 4: Multimedia
- Similar Partial Copy Detection of Line Drawings Using a Cascade Classifier and Feature Matching
- Introduction
- Proposed Method
- Overview
- ROI Detection
- Feature extraction.
- Feature selection.
- Construction of cascade classifiers.
- Detection of ROIs.
- Similar Part Detection
- Feature extraction.
- Matching.
- Experiments
- ROI Detection
- Similar Part Detection
- Conclusion and Future Works
- References
- Detection of Malicious Applications on Android OS
- Introduction
- Mobile Forensics
- Android OS
- Android Security Model - A Permission-Based Approach
- Android Threads
- AppAware
- The Methodology
- Case Study
- Conclusions
- References
- JPEG Quantization Tables Forensics: A Statistical Approach
- Introduction
- Related Work
- Basics of JPEG Compression
- Basic Notations and Preliminaries
- Image Database
- A Statistical Approach for Noise Removal
- Experimental Results
- Discussion
- References
- Session 5: Biometrics2
- Discovering Correspondences between Fingerprints Based on the Temporal Dynamics of Eye Movements from Experts
- Introduction
- Related Work
- Experiment and Data
- Method
- Temporal Fixation Finding
- Spatial Clustering
- Temporal Alignment
- Machine Translation
- Results
- Conclusions
- References
- Latent Fingerprint Rarity Analysis in Madrid Bombing Case
- Introduction
- Latent Fingerprint Registration
- Generative Model for Latent Prints
- Rarity Evaluation with Minutiae Confidence
- Study of Madrid Bombing Case
- Summary
- References
- Fingerprint Directional Image Enhancement
- Introduction
- Directional Image Estimation
- Orientation Smoothing
- Experimental Results
- Conclusion
- References
- Session 6: Evaluation
- What Kind of Strategies Does a Document Examiner Take in Handwriting Identification?
- Introduction
- Materials and Method
- Handwriting Samples Used for the Experiments
- Classification
- Results and Discussion
- Correct Cluster
- Correct Classification Radio
- Classification Results
- Conclusion
- References
- 3LSPG: Forensic Tool Evaluation by Three Layer Stochastic Process-Based Generation of Data
- Introduction
- Fraud
- Synthetic vs. Real Data
- Basics for 3LSPG
- Markov Chains
- Calculation of Conditional Probabilities
- 3LSPG
- Markov Layer
- Application Data Layer
- Time Shifting Layer
- Implementation of 3LSPG
- 3LSPG Application
- Sample Fraud Case: Double Payment
- Simulation of Double Payment with 3LSPG
- Benefit of 3LSPG
- Related Work
- Conclusion
- References
- Author Index
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