A Modified Approach of Fragile Watermarking Using Local Binary Pattern (LBP)

被引:0
|
作者
Pinjari, Shakil A. [1 ]
Patil, Nitin N. [1 ]
机构
[1] RC Patel Inst Technol, Dept Comp Engn, Shirpur, India
关键词
Fragile watermarking; Least Significant Bit (LSB); Local Binary Pattern (LBP); Tampering; Texture;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper proposes a modified approach of fragile watermarking. The watermark generation is based on Local Binary Pattern (LBP). The proposed method is having recovery ability. Local Binary Pattern (LBP) is an operator that describes the surroundings of a pixel by generating a LBP code. LBP is mostly used for face detection, texture classification, pattern recognition and image classification. In this method we have used the spatial information to generate watermark. The watermark is embedded in image block of 3 x 3 pixel size and this authentication data is used for image tamper detection and recovery. Recovery information of tampered block is calculated in the form of mean of the block. The watermark data and recovery information is embedded into 2 LSB of the pixel. The experimental results of this scheme are better than previous scheme of LBP based watermarking in terms of tamper detection rate recover ability and image quality.
引用
收藏
页数:4
相关论文
共 50 条
  • [1] Improved Fragile Watermarking Technique Using Modified LBP Operator
    Makhrib, Zainab F.
    Karim, Abdulamir A.
    PROCEEDING OF THE 2ND 2022 INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND SOFTWARE ENGINEERING (CSASE 2022), 2022, : 132 - 137
  • [2] Palm Vein Recognition by using modified of Local Binary Pattern (LBP) for Extraction Feature
    Fronitasari, Dini
    Gunawan, Dadang
    2017 15TH INTERNATIONAL CONFERENCE ON QUALITY IN RESEARCH (QIR) - INTERNATIONAL SYMPOSIUM ON ELECTRICAL AND COMPUTER ENGINEERING, 2017, : 18 - 22
  • [3] An efficient approach to face recognition using a modified center-symmetric local binary pattern (MCS-LBP)
    Alapati, Anusha
    Kang, Dae-Seong
    International Journal of Multimedia and Ubiquitous Engineering, 2015, 10 (08): : 13 - 22
  • [4] Semi-fragile spatial watermarking based on local binary pattern operators
    Zhang Wenyin
    Shih, Frank Y.
    OPTICS COMMUNICATIONS, 2011, 284 (16-17) : 3904 - 3912
  • [5] Image Inconsistency Detection Using Local Binary Pattern (LBP)
    Mahale, Vivek H.
    Ali, Mouad M. H.
    Yannawar, Pravin L.
    Gaikwad, Ashok T.
    7TH INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING & COMMUNICATIONS (ICACC-2017), 2017, 115 : 501 - 508
  • [6] Analysis on the Copy-move and Splicing Forgery of Fragile Watermarking Based on Local Binary Pattern
    Song, Peifei
    Yue, Zhen
    Yang, Rundong
    Shi, Jie
    Li, Zichen
    PROCEEDINGS OF THE 2017 2ND INTERNATIONAL CONFERENCE ON ELECTRICAL, CONTROL AND AUTOMATION ENGINEERING (ECAE 2017), 2017, 140 : 238 - 240
  • [7] Representation of Dorsal Hand Vein Pattern Using Local Binary Patterns (LBP)
    Khan, Maleika Heenaye Mamode
    CODES, CRYPTOLOGY, AND INFORMATION SECURITY, C2SI 2015, 2015, 9084 : 331 - 341
  • [8] LBP and DWT Based Fragile Watermarking for Image Authentication
    Wang, Chengyou
    Zhang, Heng
    Zhou, Xiao
    JOURNAL OF INFORMATION PROCESSING SYSTEMS, 2018, 14 (03): : 666 - 679
  • [9] Boosting local binary pattern (LBP)-based face recognition
    Zhang, GC
    Huang, XS
    Li, SZ
    Wang, YS
    Wu, XH
    ADVANCES IN BIOMETRIC PERSON AUTHENTICATION, PROCEEDINGS, 2004, 3338 : 179 - 186
  • [10] Local Binary Pattern (LBP) and Transfer Learning Based Approach to Classify Lung and Colon Cancer
    Onkar Singh
    Koushlendra Kumar Singh
    SN Computer Science, 5 (6)