Image Rescaling with the Ruler on Latent Fingerprint Images

被引：0
|
作者：
Aktas, Emre [1 ]
Elihos, Alperen [1 ]
机构：
[1] HAVELSAN AS, Goruntu & Video Isleme Grubu, Ankara, Turkiye
来源：
2023 31ST SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE, SIU | 2023年
关键词：
rescaling; image processing; deep learning; fingerprint recognition;
D O I：
10.1109/SIU59756.2023.10223835
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this study, a novel method towards rescaling latent fingerprints with the help of ruler is presented. The proposed method is developed using traditional machine learning algorithms and deep learning. This method includes segmenting the ruler region, finding the distance between the ruler lines, and determining the scale. The ruler segmentation model used in the proposed method has 99.65% precision and 91.03% sensitivity. In addition, the use of fingerprint images whose scale is changed by the proposed method in matching algorithms increases the matching performance by 12.5%.
引用
收藏
页数：4
相关论文
共 50 条
  • [41] Digital image rescaling using kriging
    Baiao, A.
    Proceedings of the IAMG '07: Geomathematics and GIS Analysis of Resources, Environment and Hazards, 2007, : 386 - 390
  • [42] Ruler Detection for Autoscaling Forensic Images
    Bhalerao, Abhir
    Reynolds, Gregory
    INTERNATIONAL JOURNAL OF DIGITAL CRIME AND FORENSICS, 2014, 6 (01) : 9 - 27
  • [43] Generation of Privacy-friendly Datasets of Latent Fingerprint Images using Generative Adversarial Networks
    Seidlitz, Stefan
    Juergens, Kris
    Makrushin, Andrey
    Kraetzer, Christian
    Dittmann, Jana
    VISAPP: PROCEEDINGS OF THE 16TH INTERNATIONAL JOINT CONFERENCE ON COMPUTER VISION, IMAGING AND COMPUTER GRAPHICS THEORY AND APPLICATIONS - VOL. 4: VISAPP, 2021, : 345 - 352
  • [44] FingerGAN: A Constrained Fingerprint Generation Scheme for Latent Fingerprint Enhancement
    Zhu, Yanming
    Yin, Xuefei
    Hu, Jiankun
    IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 45 (07) : 8358 - 8371
  • [45] Latent fingerprint visualization with the novel white fluorescent fingerprint powders
    Li, Peng
    Zhou, Zhi-Qiao
    Liu, Li-Hao
    Ji, Ben-Yang
    Song, Hao-Rui
    Luan, Jun-Yu
    Xiang, Guo-Qiang
    Fang, Ying
    Chen, Shaojin
    Wang, Kun-Peng
    Hu, Zhi-Qiang
    DYES AND PIGMENTS, 2024, 228
  • [46] Determining the Standard Value of Acquisition Distortion of Fingerprint Images Based on Image Quality
    Syam, Rahmat
    Hariadi, Mochamad
    Purnomo, Mauridhi Hery
    JOURNAL OF ICT RESEARCH AND APPLICATIONS, 2010, 4 (02) : 115 - 132
  • [47] Adaptive fingerprint image enhancement with fingerprint image quality analysis
    Yun, EK
    Cho, SB
    IMAGE AND VISION COMPUTING, 2006, 24 (01) : 101 - 110
  • [48] Evolution of Better Wavelet Coefficients for Fingerprint Image Compression using cropped images
    Shanavaz, K. T.
    Mythili, P.
    2012 INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING AND COMMUNICATIONS (ICACC), 2012, : 126 - 129
  • [49] Discriminating Fingerprint Images of Other Images
    Rodriguez-Fonte, Armando
    Hernandez-Palancar, Jose
    PROGRESS IN PATTERN RECOGNITION IMAGE ANALYSIS, COMPUTER VISION, AND APPLICATIONS, CIARP 2014, 2014, 8827 : 524 - 531
  • [50] Synthesis of fingerprint images
    Araque, JL
    Baena, M
    Chalela, BE
    Navarro, D
    Vizcaya, PR
    16TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL II, PROCEEDINGS, 2002, : 422 - 425
12345