Fingerprint ROI Segmentation Based on Deep Learning

被引：0
作者：
Stojanovic, Branka [1 ]
Marques, Oge [2 ]
Neskovic, Aleksandar [3 ]
Puzovic, Snezana [1 ]
机构：
[1] Inst Vlatacom, Milutina Milankovica 5, Belgrade 11070, Serbia
[2] Florida Atlantic Univ, Coll Engn & Comp Sci, 777 Glades Rd, Boca Raton, FL 33431 USA
[3] Univ Belgrade, Sch Elect Engn, Bul Kralja Aleksandra 73, Belgrade 11120, Serbia
来源：
2016 24TH TELECOMMUNICATIONS FORUM (TELFOR) | 2016年
关键词：
Deep Learning; CNN; NN; fingerprint; ROI segmentation;
D O I：
暂无
中图分类号：
TN [电子技术、通信技术];
学科分类号：
0809 ;
摘要：
This paper presents a novel method for fingerprint ROI (region of interest) segmentation using Deep learning technique - Convolutional Neural Networks. Experimental results, obtained using a publicly available test database of 200 fingerprint images in two variations - with and without Gaussian noise, demonstrate that this method is competitive with Fourier coefficients and NN based method for fingerprint images without noise, while it significantly outperforms it, in all three figures of merit, for fingerprint images with noise.
引用
收藏
页码：368 / 371
页数：4
相关论文
共 50 条
  • [41] Fingerprint Classification Based on Deep Learning Approaches: Experimental Findings and Comparisons
    Militello, Carmelo
    Rundo, Leonardo
    Vitabile, Salvatore
    Conti, Vincenzo
    SYMMETRY-BASEL, 2021, 13 (05):
  • [42] Deep Learning-Based Molecular Fingerprint Prediction for Metabolite Annotation
    Chau, Hoi Yan Katharine
    Zhang, Xinran
    Ressom, Habtom W.
    METABOLITES, 2025, 15 (02)
  • [43] Secure Fingerprint Authentication Using Deep Learning and Minutiae Verification
    Praseetha, V. M.
    Bayezeed, Saad
    Vadivel, S.
    JOURNAL OF INTELLIGENT SYSTEMS, 2020, 29 (01) : 1379 - 1387
  • [44] Overview of RGBD semantic segmentation based on deep learning
    Zhang H.
    Sheng V.S.
    Xi X.
    Cui Z.
    Rong H.
    Journal of Ambient Intelligence and Humanized Computing, 2023, 14 (10) : 13627 - 13645
  • [45] Review of Deep Learning-Based Semantic Segmentation
    Zhang Xiangfu
    Jian, Liu
    Shi Zhangsong
    Wu Zhonghong
    Zhi, Wang
    LASER & OPTOELECTRONICS PROGRESS, 2019, 56 (15)
  • [46] Weakly Supervised Semantic Segmentation Based on Deep Learning
    Liang, Binxiu
    Liu, Yan
    He, Linxi
    Li, Jiangyun
    PROCEEDINGS OF THE 11TH INTERNATIONAL CONFERENCE ON MODELLING, IDENTIFICATION AND CONTROL (ICMIC2019), 2020, 582 : 455 - 464
  • [47] Deep learning based brain tumor segmentation: a survey
    Zhihua Liu
    Lei Tong
    Long Chen
    Zheheng Jiang
    Feixiang Zhou
    Qianni Zhang
    Xiangrong Zhang
    Yaochu Jin
    Huiyu Zhou
    Complex & Intelligent Systems, 2023, 9 : 1001 - 1026
  • [48] Deep learning methods for fingerprint-based indoor positioning: a review
    Alhomayani, Fahad
    Mahoor, Mohammad H.
    JOURNAL OF LOCATION BASED SERVICES, 2020, 14 (03) : 129 - 200
  • [49] Review of Image Semantic Segmentation Based on Deep Learning
    Tian X.
    Wang L.
    Ding Q.
    Ruan Jian Xue Bao/Journal of Software, 2019, 30 (02): : 440 - 468
  • [50] Deep learning-based classification and segmentation for scalpels
    Baiquan Su
    Qingqian Zhang
    Yi Gong
    Wei Xiu
    Yang Gao
    Lixin Xu
    Han Li
    Zehao Wang
    Shi Yu
    Yida David Hu
    Wei Yao
    Junchen Wang
    Changsheng Li
    Jie Tang
    Li Gao
    International Journal of Computer Assisted Radiology and Surgery, 2023, 18 : 855 - 864
12345