Author name recognition in degraded journal images

被引：0
|
作者：
de la Jacopiere, Aliette de Bodard [1 ]
Likforman-Sulem, Laurence [1 ]
机构：
[1] GET Ecole Natl Super Telecommun, Signal & Image Proc Dept, 46 Rue Barrault, F-75013 Paris, France
来源：
DOCUMENT RECOGNITION AND RETRIEVAL XIII | 2006年 / 6067卷
关键词：
degraded documents; journal title pages; neural network; author name; textual and image-based analysis;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A method for extracting names in degraded documents is presented in this article. The documents targeted are images of photocopied scientific journals from various scientific domains. Due to the degradation. there is poor OCR recognition, and pieces of other articles appear on the sides of the image. The proposed approach relies on the combination of a low-level textual analysis and an image-based analysis. The textual analysis extracts robust typographic features, while the image analysis selects image regions of interest through anchor components. We report results on the University of Washington benchmark database.
引用
收藏
页数：9
相关论文
共 50 条
  • [1] Automatic name extraction from degraded document images
    Laurence Likforman-Sulem
    Pascal Vaillant
    Aliette de Bodard de la Jacopière
    Pattern Analysis and Applications, 2006, 9 : 211 - 227
  • [2] Automatic name extraction from degraded document images
    Likforman-Sulem, Laurence
    Vaillant, Pascal
    de la Jacopiere, Aliette de Bodard
    PATTERN ANALYSIS AND APPLICATIONS, 2006, 9 (2-3) : 211 - 227
  • [3] Recognition of Images Degraded by Gaussian Blur
    Flusser, Jan
    Farokhi, Sajad
    Hoschl, Cyril
    Suk, Tomas
    Zitova, Barbara
    Pedone, Matteo
    IEEE TRANSACTIONS ON IMAGE PROCESSING, 2016, 25 (02) : 790 - 806
  • [4] Recognition of Images Degraded by Gaussian Blur
    Flusser, Jan
    Suk, Tomas
    Farokhi, Sajad
    Hoeschl, Cyril
    COMPUTER ANALYSIS OF IMAGES AND PATTERNS, CAIP 2015, PT I, 2015, 9256 : 88 - 99
  • [5] Color Face Recognition for Degraded Face Images
    Choi, Jae Young
    Ro, Yong Man
    Plataniotis, Konstantinos N.
    IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 2009, 39 (05): : 1217 - 1230
  • [6] Reaction times for recognition of degraded facial images
    Lakshminarayanan, V
    Bhatia, SK
    Samal, A
    Welland, GV
    BASIC AND CLINICAL APPLICATIONS OF VISION SCIENCE: THE PROFESSOR JAY M ENOCH FESTSCHRIFT VOLUME, 1997, 60 : 287 - 293
  • [7] Coupled metric learning for face recognition with degraded images
    Li, Bo
    Chang, Hong
    Shan, Shiguang
    Chen, Xilin
    ADVANCES IN MACHINE LEARNING, PROCEEDINGS, 2009, 5828 : 220 - +
  • [8] Bayesian pattern recognition in optically degraded noisy images
    Navarro, R
    Nestares, O
    Valles, JJ
    JOURNAL OF OPTICS A-PURE AND APPLIED OPTICS, 2004, 6 (01): : 36 - 42
  • [9] Iris Recognition: On the Segmentation of Degraded Images Acquired in the Visible Wavelength
    Proenca, Hugo
    IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2010, 32 (08) : 1502 - 1516
  • [10] Robust Math Formula Recognition in Degraded Chinese Document Images
    Liu, Ning
    Zhang, Dongxiang
    Xu, Xing
    Guo, Long
    Chen, Lijiang
    Liu, Wenju
    Ke, Dengfeng
    2017 14TH IAPR INTERNATIONAL CONFERENCE ON DOCUMENT ANALYSIS AND RECOGNITION (ICDAR), VOL 1, 2017, : 113 - 118
12345