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Wavelet energy feature based source camera identification for ear biometric images

  • Published:2020-02 Issue: Volume:130 Page:139-147
  • ISSN:0167-8655
  • Container-title:Pattern Recognition Letters
  • language:en
  • Short-container-title:Pattern Recognition Letters

Author:

Chowdhury Debbrota Paul,Bakshi SambitORCID,Sa Pankaj Kumar,Majhi Banshidhar

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference33 articles.

1. AMI Ear Database, 2008, Available: http://www.ctim.es/research_works/ami_ear_database/.

2. AWE Ear Database, 2017, Available: http://awe.fri.uni-lj.si/.

3. Security through human-factors and biometrics;Bakshi,2013

4. Source camera identification based on CFA interpolation;Bayram,2005

5. Accurate detection of demosaicing regularity for digital image forensics;Cao;IEEE Trans. Inf. Forensics Secur.,2009

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2. Remarks on Speeding up the Digital Camera Identification using Convolutional Neural Networks;Vietnam Journal of Computer Science;2023-09-14

3. A Survey on Fingerprinting Technologies for Smartphones Based on Embedded Transducers;IEEE Internet of Things Journal;2023-08-15

4. Region-Based Steganalysis of Medical Radiographs for Radiographic Machine Identification;2023 Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE);2023-07-24

5. A Comprehensive survey on ear recognition: Databases, approaches, comparative analysis, and open challenges;Neurocomputing;2023-06
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