2019/02/04 by Wajih Ullah Baig, Adeel Ejaz, Baig, Wajih Ullah +5
Computer Science · #Biometric Identification and Security #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image Processing and 3D Reconstruction #Image and Object Detection Techniques #cs.CV
paper · pdf · doi:10.48550/arxiv.1902.01400
5 pages. 17 figures
arxiv created 2019/02/04 · openalex publication_date 2019/02/04 · arxiv updated 2019/02/06 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
In Biometric identification, fingerprints based identification has been the widely accepted mechanism. Automated fingerprints identification/verification techniques are widely adopted in many civilian and forensic applications. In forensic applications fingerprints are usually incomplete, broken, unclear or degraded which are known as partial fingerprints. Fingerprints identification/verification largely suffer from the problem of handling partial fingerprints. In this paper a novel and simple approach is presented for detecting partial fingerprints using core point location. Our techniques is particularly useful during the acquisition stage as to determine whether a user needs to re-align the finger to ensure a complete capture of fingerprint area.This technique is tested on FVC-2002 DB1A. The results are very accurate which are presented in the Results sections.