Face recognition by means of facial parameters and finding feature points in an image

被引：0
|
作者：
Salemi, Najma [1 ]
机构：
[1] Islamic Azad Univ, Sci & Res Branch, Dept Comp, Tehran, Iran
来源：
INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND NETWORK SECURITY | 2018年 / 18卷 / 01期
关键词：
Identification and authorization; Biometric identification; Feature extraction;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Since identification is one of the important issues in today's societies, many methods were presented for biometric identification. One of these identification methods is face recognition. There are different facial features in different individuals. Many algorithms were presented to find feature points in an image the best of which to name is the SIFT algorithm because this algorithm is resistant to image scaling and rotation which are important challenges in image processing. In this paper, using the SIFT algorithm, a new method was presented for face recognition which has a better performance compared to previous face recognition methods.
引用
收藏
页码：211 / 214
页数：4
相关论文
共 50 条
  • [1] Facial Feature Extraction on Fiducial Points and Used in Face Recognition
    Yu Weiwei
    Yan Nannan
    [J]. 2009 THIRD INTERNATIONAL SYMPOSIUM ON INTELLIGENT INFORMATION TECHNOLOGY APPLICATION, VOL 3, PROCEEDINGS, 2009, : 274 - 277
  • [2] Face Recognition using Face-Autocropping and Facial Feature Points Extraction
    Karmakar, Dhiman
    Murthy, C. A.
    [J]. PERCEPTION AND MACHINE INTELLIGENCE, 2015, 2015, : 116 - 122
  • [3] Large Scale Identity Deduplication Using Face Recognition Based on Facial Feature Points
    Yang, Xiaoli
    Su, Guangda
    Chen, Jiansheng
    Su, Nan
    Ren, Xiaolong
    [J]. BIOMETRIC RECOGNITION: CCBR 2011, 2011, 7098 : 25 - 32
  • [4] Finding Distinctive Facial Areas for Face Recognition
    Zhan, Ce
    Li, Wanqing
    Ogunbona, Philip
    [J]. 11TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION, ROBOTICS AND VISION (ICARCV 2010), 2010, : 1848 - 1853
  • [5] Face Recognition Based on Facial Feature Training
    Smaoui, Souhail
    Hammami, Mohamed
    [J]. 2009 IEEE/ACS INTERNATIONAL CONFERENCE ON COMPUTER SYSTEMS AND APPLICATIONS, VOLS 1 AND 2, 2009, : 449 - +
  • [6] Facial feature extraction for face recognition: a review
    Bagherian, Elham
    Rahmat, Rahmita Wirza O. K.
    [J]. INTERNATIONAL SYMPOSIUM OF INFORMATION TECHNOLOGY 2008, VOLS 1-4, PROCEEDINGS: COGNITIVE INFORMATICS: BRIDGING NATURAL AND ARTIFICIAL KNOWLEDGE, 2008, : 785 - 793
  • [7] A flexible feature matching for automatic face and facial feature points detection
    Pramadihanto, D
    Iwai, Y
    Yachida, M
    [J]. FOURTEENTH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOLS 1 AND 2, 1998, : 92 - 95
  • [8] Curvelet feature extraction for face recognition and facial expression recognition
    Research Institute of Computer Science and Technology, Ningbo University, Ningbo, 315211, China
    [J]. Proc. - Int. Conf. Nat. Comput., ICNC, (1212-1216):
  • [9] FINDING TRAJECTORIES OF FEATURE POINTS IN A MONOCULAR IMAGE SEQUENCE
    SETHI, IK
    JAIN, R
    [J]. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1987, 9 (01) : 56 - 73
  • [10] Euclidean and Geodesic Distance between a Facial Feature Points in Two-Dimensional Face Recognition System
    Ahdid, Rachid
    Safi, Said
    Manaut, Bouzid
    [J]. INTERNATIONAL ARAB JOURNAL OF INFORMATION TECHNOLOGY, 2017, 14 (4A) : 565 - 571
12345