Decision-theoretic model to identify printed sources

Keyphrases

• Digital Forensics 100%
• Source Identification 100%
• Printer 100%
• Printed Documents 100%
• Decision-analytic Model 100%
• Prediction Accuracy 50%
• Convolutional Neural Network 50%
• Classification Problem 50%
• Process Data 50%
• Color Texture 50%
• Image Classification 50%
• Discrete Wavelet Transform 50%
• Gabor Filter 50%
• Gray-level Co-occurrence 50%
• Wiener Filter 50%
• Haralick 50%
• Exploration Method 50%
• Image Processing Techniques 50%
• Local Binary Pattern 50%
• Scanned Image 50%
• Spatial Filtering 50%
• Forensic 50%
• Feature Fusion 50%
• Decision Fusion 50%
• Feature Selection 50%
• Statistical Features 50%
• Complex Image 50%
• Deep Learning System 50%
• Forged Document 50%
• Forensic Application 50%
• Image Input 50%
• Paper Texture 50%
• Paper Color 50%
• Fusion Model 50%
• Text Input 50%
• Forensic Techniques 50%
• Optical Mechanism 50%
• Digital Evidence 50%
• Crime Type 50%
• Aggregation Behavior 50%

Computer Science

• Printer 100%
• Digital Forensics 100%
• Theoretic Model 100%
• Convolutional Neural Network 50%
• Deep Learning 50%
• Classification Problem 50%
• Image Classification 50%
• Experimental Result 50%
• Feature Selection 50%
• Wavelet Transforms 50%
• Occurrence Matrix 50%
• Image Processing Technique 50%
• Data Exploration 50%
• Statistical Feature 50%
• Source Document 50%
• Learning Systems 50%
• Forensic Technique 50%
• Theoretical Approach 50%
• Extracted Feature 50%
• Prediction Accuracy 50%
• Forensic Application 50%
• Digital Evidence 50%