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Data underlying the MSc thesis: Design and Evaluation of Methods for Synthetic and Heritage-Like Fingerprints

4TU.ResearchDatavia 4TU.ResearchData (via DataCite) · bijgewerkt 26 januari 2026

Wat erin zit

# Synthetic Heritage-Like Clay Impression Dataset (SHCID)# Author: Y. Arda Kosker (University of Twente)# Date: January 2026 ## 1. OverviewThis dataset contains 1,120 synthetic 3D fingerprint models generated to evaluate matching algorithms under varying conditions. The models simulate both ideal (Clean) and real-world/heritage (Realistic) surface properties. ## 2. Dataset Structure- Identities: 80 unique identity runs (run_1 to run_80).- Variations per Identity: 14 models.- Data Splits: - Clean: Baseline models with full fingerprints and continuous surfaces. - Realistic: Models with partial fingerprints and surface cracks.- File Format: .obj (Wavefront 3D).- Physical Scale: 21.1 mm (W) x 28.4 mm (H). ## 3. Technical Note on CompressionThe uncompressed dataset occupies approximately 40 GB of disk space. Please ensure sufficient disk space before extraction. ## 4. Code & GenerationThe provided Python scripts allow for the reproduction of the dataset:- main.py: The entry point for the generation pipeline.- MeshGenerator.py: Class definition managing the 3D construction logic.- myScripts/: Module containing mathematical foundations and procedural texture algorithms. Requirements: …

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