New segmentation algorithm for individual offline handwritten character segmentation

被引：0
|
作者：
Batuwita, KBMR [1 ]
Bandara, GEMDC
机构：
[1] Univ Peradeniya, Dept Stat & Com Sci, Fac Sci, Peradeniya, Sri Lanka
[2] Univ Peradeniya, Fac Engn, Dept Prod Engn, Peradeniya, Sri Lanka
来源：
FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY, PT 2, PROCEEDINGS | 2005年 / 3614卷
关键词：
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：
Handwritten character recognition has been an intensive research for last decade. A handwritten character recognition fuzzy system with an automatically generated rule base possesses the features of flexibility, efficiency and online adaptability. A major requirement of such a fuzzy system for either online or offline handwritten character recognition is, the segmentation of individual characters into meaningful segments. Then these segments can be used for the calculation of fuzzy features and the recognition process. This paper describes a new segmentation algorithm for offline handwritten character segmentation, which segments the individual handwritten character skeletons into meaningful segments. Therefore, this algorithm is a good candidate for an offline handwritten character recognition fuzzy system.
引用
收藏
页码：215 / 229
页数：15
相关论文
共 50 条
  • [1] An improved segmentation algorithm for individual offline handwritten character segmentation
    Batuwita, K. B. M. R.
    Bandara, G. E. M. D. C.
    [J]. INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE FOR MODELLING, CONTROL & AUTOMATION JOINTLY WITH INTERNATIONAL CONFERENCE ON INTELLIGENT AGENTS, WEB TECHNOLOGIES & INTERNET COMMERCE, VOL 2, PROCEEDINGS, 2006, : 982 - +
  • [2] New segmentation algorithm for offline handwritten connected character segmentation
    Jayarathna, U. K. S.
    Bandara, G. E. M. D. C.
    [J]. 2006 INTERNATIONAL CONFERENCE ON INDUSTRIAL AND INFORMATION SYSTEMS, VOLS 1 AND 2, 2006, : 540 - +
  • [3] Offline handwritten arabic character segmentation with probabilistic model
    Xiu, PP
    Peng, LR
    Ding, XQ
    Wang, H
    [J]. DOCUMENT ANALYSIS SYSTEMS VII, PROCEEDINGS, 2006, 3872 : 402 - 412
  • [4] Meaningful segmentation of offline individual handwritten numeric characters
    Batuwita, K. B. M. R.
    Bandara, G. E. M. D. C.
    [J]. 2006 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-5, 2006, : 1500 - 1505
  • [5] An Efficient Character Segmentation Algorithm for Offline Handwritten Uighur Scripts Based on Grapheme Analysis
    Xu, Yamei
    Du, Panpan
    [J]. PROCEEDINGS OF THE 2016 2ND INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND INDUSTRIAL ENGINEERING (AIIE 2016), 2016, 133 : 129 - 133
  • [6] Algorithm for segmentation of handwritten chinese character strings
    Cai, Zhihua
    Wang, Jiangqing
    Sun, Yangguang
    [J]. International Journal of Applied Mathematics and Statistics, 2013, 46 (16): : 461 - 467
  • [7] Handwritten character segmentation issues
    Harvey, AL
    [J]. ISSPA 96 - FOURTH INTERNATIONAL SYMPOSIUM ON SIGNAL PROCESSING AND ITS APPLICATIONS, PROCEEDINGS, VOLS 1 AND 2, 1996, : 581 - 584
  • [8] Segmentation of Offline Handwritten Arabic Text
    Ghaleb, Hashem
    Nagabhushan, P.
    Pal, Umapada
    [J]. 2017 1ST INTERNATIONAL WORKSHOP ON ARABIC SCRIPT ANALYSIS AND RECOGNITION (ASAR), 2017, : 41 - 45
  • [9] An adaptive threshold algorithm for offline Uyghur handwritten text line segmentation
    Suleyman, Eliyas
    Hamdulla, Askar
    Tuerxun, Palidan
    Moydin, Kamil
    [J]. WIRELESS NETWORKS, 2021, 27 (05) : 3483 - 3495
  • [10] An adaptive threshold algorithm for offline Uyghur handwritten text line segmentation
    Eliyas Suleyman
    Askar Hamdulla
    Palidan Tuerxun
    Kamil Moydin
    [J]. Wireless Networks, 2021, 27 : 3483 - 3495
12345