Fingerprint image enhancement and reconstruction using the orientation and phase reconstruction

被引:41
|
作者
Gupta, Rashmi [1 ]
Khari, Manju [1 ]
Gupta, Deepti [1 ]
Gonzalez Crespo, Ruben [2 ]
机构
[1] Ambedkar Inst Adv Commun Technol & Res, Delhi, India
[2] Univ Int La Rioja, Logrono, Spain
关键词
Fingerprint identification; Minutiae; Orientation field; Ridge frequency; Fingerprint enhancement; Fingerprint reconstruction; COMPUTATION; FIELDS;
D O I
10.1016/j.ins.2020.01.031
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Fingerprints are the one of the most important means in the forensics as a means of identification of the criminals owning to the uniqueness and the distinct features in them. Fingerprint identification is considered as an important means for the identification of the people around the globe. Minutiae are the details present in the human fingerprints which are used as a means of identification and verification. Minutiae are the distinctive points which can be used for the effective reconstruction of the fingerprint image. However, there was a limitation that was considered. The minutiae points are completely not enough for reconstruction of the image. Many spurious minutiae are not included and the results for the latent fingerprints are not as accurate as they are for the normal data sets. In this paper, a novel technique has been proposed which considers the minutiae density and the orientation field direction for the reconstruction of the fingerprint. Two public domain databases Fingerprint verification competition 2002 (FVC2002) and fingerprint verification competition 2004 (FVC2004) have been used for the experimental results and to validate the suggested methods for the fingerprint reconstruction and enhancement. (C) 2020 Elsevier Inc. All rights reserved.
引用
收藏
页码:201 / 218
页数:18
相关论文
共 50 条
  • [21] A real time image reconstruction algorithm for an integrated fingerprint sensor
    Hamine, Mhamed
    Audet, Yves
    David, Jean-Pierre
    2007 IEEE NORTH-EAST WORKSHOP ON CIRCUITS AND SYSTEMS, 2007, : 131 - 134
  • [22] Fingerprint image enhancement using multiple filters
    Shams, Haroon
    Jan, Tariqullah
    Khalil, Amjad Ali
    Ahmad, Naveed
    Munir, Abid
    Khalil, Ruhul Amin
    PEERJ COMPUTER SCIENCE, 2023, 9
  • [23] Fingerprint image enhancement using STFT analysis
    Chikkerur, S
    Govindaraju, V
    Cartwright, AN
    PATTERN RECOGNITION AND IMAGE ANALYSIS, PT 2, PROCEEDINGS, 2005, 3687 : 20 - 29
  • [24] Fingerprint image enhancement using filtering techniques
    Greenberg, S
    Aladjem, M
    Kogan, D
    Dimitrov, I
    15TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL 3, PROCEEDINGS: IMAGE, SPEECH AND SIGNAL PROCESSING, 2000, : 322 - 325
  • [25] Reconstruction and enhancement of active thermographic image sequences
    Shepard, SM
    Lhota, JR
    Rubadeux, BA
    Wang, D
    Ahmed, T
    OPTICAL ENGINEERING, 2003, 42 (05) : 1337 - 1342
  • [26] Fingerprint image enhancement using weak models
    Connell, JH
    Ratha, NK
    Bolle, RM
    2002 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOL I, PROCEEDINGS, 2002, : 45 - 48
  • [27] Fingerprint identification using image enhancement techniques
    Moler, E
    Ballarin, V
    Pessana, F
    Torres, S
    Olmo, D
    JOURNAL OF FORENSIC SCIENCES, 1998, 43 (03) : 689 - 692
  • [28] Fingerprint image enhancement using filtering techniques
    Greenberg, S
    Aladjem, M
    Kogan, D
    REAL-TIME IMAGING, 2002, 8 (03) : 227 - 236
  • [29] ON THE RECONSTRUCTION OF IMAGE USING ITS FOURIER-SPECTRUM PHASE
    BAKUT, PA
    PAKHOMOV, AA
    RYAKHIN, AD
    SVIRIDOV, KN
    USTINOV, ND
    OPTIKA I SPEKTROSKOPIYA, 1988, 64 (01): : 165 - 169
  • [30] Algorithmic image reconstruction using iterative phase retrieval schema
    Lima, E
    Shapiro, D
    Kirz, J
    Sayre, D
    JOURNAL DE PHYSIQUE IV, 2003, 104 : 631 - 634