A new method to separation of Farsi and Arabic sub-words using image processing techniques

被引:0
|
作者
Shirvani, Parisa [1 ]
Khouzani, Mehrdad Vatankhah [2 ]
机构
[1] Univ Semnan, Dept Elect Engn, Semnan, Iran
[2] Sheffield Hallam Univ, Fac Arts Comp Engn & Sci ACES, Sheffield, S Yorkshire, England
来源
2013 FIRST IRANIAN CONFERENCE ON PATTERN RECOGNITION AND IMAGE ANALYSIS (PRIA) | 2013年
关键词
recognition; connected-component labeling; sub-word's separation; image processing;
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
letters separation and word's units is one of the most important parts of text recognition algorithms. In the Farsi language, these parts consist of single letters and connected letters which called "sub-word". Therefore, separation for these units has a main role in developing text processing's algorithms. In this paper, a method based on connected-component labeling techniques with high accuracy is suggested that makes letters and sub-words separation in Farsi font in any size, possible. Experiments show more than 90 percent accuracy in this method
引用
收藏
页数:3
相关论文
共 50 条
  • [21] A new instantaneous frequency estimation method based on the use of image processing techniques
    Borda, M
    Nafornita, I
    Isar, A
    IMAGE PROCESSING: ALGORITHMS AND SYSTEMS II, 2003, 5014 : 147 - 156
  • [22] A method for reading a resistor by image processing techniques
    Mitani, Yoshihiro
    Sugimura, Yuuki
    Hamamoto, Yoshihiko
    KNOWLEDGE - BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT 1, PROCEEDINGS, 2008, 5177 : 433 - +
  • [23] Image Processing Techniques for Segments Grouping in Monaural Speech Separation
    Shoba, S.
    Rajavel, R.
    CIRCUITS SYSTEMS AND SIGNAL PROCESSING, 2018, 37 (08) : 3651 - 3670
  • [24] Image Processing Techniques for Segments Grouping in Monaural Speech Separation
    S. Shoba
    R. Rajavel
    Circuits, Systems, and Signal Processing, 2018, 37 : 3651 - 3670
  • [25] A new method for measuring the size of nematodes using image processing
    Andrews, David G. H.
    BIOLOGY METHODS & PROTOCOLS, 2019, 4 (01):
  • [26] Automatic defects separation from background LSI patterns using advanced image processing techniques
    Maruo, K
    Yamaguchi, T
    Ichikawa, M
    Shibata, T
    Ohmi, T
    1997 IEEE INTERNATIONAL SYMPOSIUM ON SEMICONDUCTOR MANUFACTURING CONFERENCE PROCEEDINGS, 1997, : E61 - E64
  • [27] Method for separation of partly occluded objects by image processing
    Szasz, K
    Torok, L
    Eordogh, I
    COMBIO'96 - SUMMER WORKSHOP ON COMPUTATIONAL MODELLING, IMAGING AND VISUALIZATION IN BIOSCIENCES, 1996, 1996 (06): : 49 - 52
  • [28] A new autofocus using image processing techniques in critical dimension measurement SEM
    Komatsu, F
    Motoki, H
    Miyoshi, M
    IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, 1998, E81D (07) : 738 - 742
  • [29] A new method for Arabic/Farsi numeral data set size reduction via modified frequency diagram matching
    Shayegan, Mohammad Amin
    Aghabozorgi, Saeed
    KYBERNETES, 2014, 43 (05) : 817 - 834
  • [30] Correction to: A simple and effective sub-image separation method
    Mushtaq Ali
    Muhammad Zubair Asghar
    Mohsin Shah
    Toqeer Mahmood
    Multimedia Tools and Applications, 2022, 81 (11) : 14911 - 14911