Line removal and restoration of handwritten strokes

被引:19
|
作者
Arvind, K. R. [1 ]
Kumar, Jayant [1 ]
Ramakrishnan, A. G. [1 ]
机构
[1] Indian Inst Sci, Dept Elect Engn, MILE Lab, Bangalore 560012, Karnataka, India
关键词
D O I
10.1109/ICCIMA.2007.306
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In document images, we often find printed lines over-lapping with hand written elements especially in case of signatures. Typical examples of such images are bank cheques and payment slips. Although the detection and removal of the horizontal lines has been addressed, the restoration of the handwritten area after removal of lines, persists to be a problem of interest. lit this paper, we propose a method for line removal and restoration of the erased areas of the handwritten elements. Subjective evaluation of the results have been conducted to analyze the effectiveness of the proposed method. The results are promising with an accuracy of 86.33%. The entire Process takes less than half a second for completion on a 2.4 GHz 512 MB RAM Pentium IV PC for a document image.
引用
收藏
页码:208 / 214
页数:7
相关论文
共 50 条
  • [21] Film line scratch removal using Kalman filtering and Bayesian restoration
    Joyeux, L
    Boukir, S
    Besserer, B
    FIFTH IEEE WORKSHOP ON APPLICATIONS OF COMPUTER VISION, PROCEEDINGS, 2000, : 8 - 13
  • [22] Recognition of Online Handwritten Gurmukhi Strokes using Convolutional Neural Networks
    Budhouliya, Rishabh
    Sharma, Rajendra Kumar
    Singh, Harjeet
    ICAART: PROCEEDINGS OF THE 12TH INTERNATIONAL CONFERENCE ON AGENTS AND ARTIFICIAL INTELLIGENCE, VOL 2, 2020, : 578 - 586
  • [23] Online Handwritten Gurmukhi Strokes Dataset Based on Minimal Set of Words
    Singh, Sukhdeep
    Sharma, Anuj
    Chhabra, Indu
    ACM TRANSACTIONS ON ASIAN AND LOW-RESOURCE LANGUAGE INFORMATION PROCESSING, 2016, 16 (01)
  • [24] An offline recognition method of handwritten primitive Manchu characters based on strokes
    Zhang, GY
    Li, JJ
    He, RW
    Wang, AX
    NINTH INTERNATIONAL WORKSHOP ON FRONTIERS IN HANDWRITING RECOGNITION, PROCEEDINGS, 2004, : 432 - 437
  • [25] Watch Your Strokes: Improving Handwritten Text Recognition with Deformable Convolutions
    Cojocaru, Iulian
    Cascianelli, Silvia
    Baraldi, Lorenzo
    Corsini, Massimiliano
    Cucchiara, Rita
    2020 25TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR), 2021, : 6096 - 6103
  • [26] Recognition of Online Handwritten Gurmukhi Strokes using Support Vector Machine
    Gupta, Mayank
    Gupta, Nainsi
    Agrawal, Rahul
    PROCEEDINGS OF SEVENTH INTERNATIONAL CONFERENCE ON BIO-INSPIRED COMPUTING: THEORIES AND APPLICATIONS (BIC-TA 2012), VOL 1, 2013, 201 : 495 - +
  • [27] A unified approach for interpreting handwritten strokes using Constraint Multiset Grammars
    Shizuki, B
    Yamada, H
    Iizuka, K
    Tanaka, J
    200S IEEE SYMPOSIUM ON HUMAN CENTRIC COMPUTING LANGUAGES AND ENVIRONMENTS, 2003, : 180 - 182
  • [28] Ruling Lines Removal in Handwritten Documents
    Alipour, Farzad
    Faez, Karim
    Seifzadeh, Sahar
    2013 8TH IRANIAN CONFERENCE ON MACHINE VISION & IMAGE PROCESSING (MVIP 2013), 2013, : 80 - 83
  • [29] Non-similar candidate removal method for off-line handwritten Korean character recognition
    Jeong, SH
    Nam, YS
    Kim, HK
    SEVENTH INTERNATIONAL CONFERENCE ON DOCUMENT ANALYSIS AND RECOGNITION, VOLS I AND II, PROCEEDINGS, 2003, : 323 - 328
  • [30] Interactive Off-line Handwritten Text Transcription Using On-line Handwritten Text as Feedback
    Martin-Albo, Daniel
    Romero, Veronica
    Vidal, Enrique
    2013 12TH INTERNATIONAL CONFERENCE ON DOCUMENT ANALYSIS AND RECOGNITION (ICDAR), 2013, : 1280 - 1284