Comparison of Matching Score Based Fusion in Latent Fingerprint Recognition

被引：0
|
作者：
Elihos, Alperen [1 ]
Selbes, Berkay [1 ]
Balci, Burak [1 ]
Artan, Yusuf Oguzhan [1 ]
机构：
[1] HAVELSAN AS, Goruntu & Video Isleme Grubu, Ankara, Turkey
来源：
2022 30TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE, SIU | 2022年
关键词：
fingerprint recognition; fusion; image enhancement;
D O I：
10.1109/SIU55565.2022.9864906
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
In this study, we present a comparison study towards improving latent fingerprint image recognition accuracy using fusion techniques on various minutia extraction templates. Image enhancement techniques applied to latent fingerprint images remove noise and yields a novel minutiae template for these images. It is shown that combining fingerprint matching scores obtained for different templates using fusion methods improves latent image recognition performance considerably. Fusion of minutiaes templates obtained as a result of giving the images enriched with the STFT method as input to the FingerNet method, the template obtained as the input of the raw fingerprint images to the FingerNet, and the minutiae obtained with the autoencoder approach resulted in the best performance.
引用
收藏
页数：4
相关论文
共 50 条
  • [21] Fingerprint-based recognition
    Dass, Sarat C.
    Jain, Anil K.
    TECHNOMETRICS, 2007, 49 (03) : 262 - 276
  • [22] Score Level Fusion of Iris and Fingerprint using Wavelet Features
    Tiwari, Shailendra
    Tripathi, Sudhakar
    Arya, K. V.
    2016 FOURTH INTERNATIONAL CONFERENCE ON PARALLEL, DISTRIBUTED AND GRID COMPUTING (PDGC), 2016, : 456 - 461
  • [23] Fingerprint-Based Recognition
    Dass, Sarat C.
    INTERNATIONAL STATISTICAL REVIEW, 2013, 81 (02) : 175 - 187
  • [24] Fingerprint Authentication using Gabor Filter based Matching Algorithm
    Chavan, Satishkumar
    Mundada, Parth
    Pal, Devendra
    2015 INTERNATIONAL CONFERENCE ON TECHNOLOGY FOR SUSTAINABLE DEVELOPMENT (ICTSD-2015), 2015,
  • [25] Study on the center of rotation method based on minimum spanning tree matching algorithm for fingerprint recognition
    Oh, CS
    Ryu, YK
    OPTICAL ENGINEERING, 2004, 43 (04) : 822 - 829
  • [26] A Score Level Fusion Scheme for Iris Recognition
    Sharma, Vanshali
    Gautam, Gunjan
    Mukhopadhyay, Susanta
    2019 IEEE 5TH INTERNATIONAL CONFERENCE FOR CONVERGENCE IN TECHNOLOGY (I2CT), 2019,
  • [27] Fusion of Face Recognition Methods at Score level
    Cherifi, Dalila
    Cherfaoui, Fateh
    Yacini, Si Nabil
    Nait-Ali, Amine
    2016 INTERNATIONAL CONFERENCE ON BIO-ENGINEERING FOR SMART TECHNOLOGIES (BIOSMART), 2016,
  • [28] Fusion particle and fingerprint recognition for indoor positioning system on mobile
    Lamoureux, C.
    Chelouah, R.
    ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2021, 98
  • [29] Low-quality fingerprint recognition using a limited ellipse-band-based matching method
    He, Zaixing
    Zhao, Xinyue
    Zhang, Shuyou
    JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION, 2015, 32 (06) : 1171 - 1179
  • [30] Speeded-Up Robust Feature Extraction and Matching for Fingerprint Recognition
    Hany, Umma
    Akter, Lutfa
    2ND INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING AND INFORMATION COMMUNICATION TECHNOLOGY (ICEEICT 2015), 2015,
12345