An efficient post-processing approach for off-line handwritten Chinese address recognition

被引：0
|
作者：
Long, Chong [1 ]
Zhu, Xiaoyan [1 ]
Huang, Kaizhu [2 ]
Sun, Jun [2 ]
Hotta, Yoshinobu [3 ]
Naoi, Satoshi [3 ]
机构：
[1] Tsinghua Univ, Dept Comp Sci & Technol, State Key Lab Intelligent Technol & Syst, Beijing 100084, Peoples R China
[2] Fujitsu R&D Ctr Co Ltd, Informat Technol Lab, Beijing 100016, Peoples R China
[3] Fujitsu Labs Ltd, Kawasaki, Kanagawa 2118588, Japan
来源：
2006 8TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING, VOLS 1-4 | 2006年
关键词：
OCR; post-processing; language mode; ME model;
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：
Language model is widely used in OCR post-processing. In this paper, based on language model, we propose a two-step method for post-processing of off-line handwritten Chinese address recognition. According to the characteristics of high level and low level addresses, two different strategies are used: for high level addresses, word-based language model is used with weighed matching search algorithm proposed; for low level addresses, ME model is implemented with similar character method. After post-processing, recognition accuracy rises from 41.60% to 78.19%. which means 62.65% errors reduction.
引用
收藏
页码：1063 / +
页数：2
相关论文
共 50 条
  • [21] Off-line handwritten Chinese character recognition as a compound Bayes decision problem
    Wong, PK
    Chan, CK
    IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1998, 20 (09) : 1016 - 1023
  • [22] Tchebichef moments for off-line handwritten Chinese character recognition based on HMMs
    Wang, Xianmei
    Yang, Yang
    Han, Mei
    DYNAMICS OF CONTINUOUS DISCRETE AND IMPULSIVE SYSTEMS-SERIES B-APPLICATIONS & ALGORITHMS, 2006, 13E : 3352 - 3357
  • [23] A Light and Discriminative Deep Networks for Off-line Handwritten Chinese Character Recognition
    Yang, Shimeng
    Nian, Fudong
    Li, Teng
    2017 32ND YOUTH ACADEMIC ANNUAL CONFERENCE OF CHINESE ASSOCIATION OF AUTOMATION (YAC), 2017, : 785 - 790
  • [24] Off-line handwritten Chinese character recognition with nonlinear pre-classification
    Zen, LX
    Dai, RW
    ADVANCES IN MULTIMODAL INTERFACES - ICMI 2000, PROCEEDINGS, 2000, 1948 : 473 - 479
  • [25] Off-Line Handwritten Chinese Character Recognition Based on Double Contour Feature
    Jia, XinBiao
    Tian, XueDong
    Yang, Fang
    2009 INTERNATIONAL SYMPOSIUM ON INTELLIGENT INFORMATION SYSTEMS AND APPLICATIONS, PROCEEDINGS, 2009, : 399 - 402
  • [26] Off-line handwritten chinese character recognition by using support vector machines
    Tung, Chong-Huang
    Lin, Yi-Guei
    JOURNAL OF INFORMATION & OPTIMIZATION SCIENCES, 2021, 42 (02): : 493 - 512
  • [27] Off-line handwritten character recognition of Devnagari script
    Pal, U.
    Sharma, N.
    Wakabayashi, T.
    Kimura, F.
    ICDAR 2007: NINTH INTERNATIONAL CONFERENCE ON DOCUMENT ANALYSIS AND RECOGNITION, VOLS I AND II, PROCEEDINGS, 2007, : 496 - +
  • [28] A System for off-line Arabic Handwritten Word Recognition based on Bayesian Approach
    Khemiri, Akram
    Echi, Afef Kacem
    Belaid, Abdel
    Elloumi, Mourad
    PROCEEDINGS OF 2016 15TH INTERNATIONAL CONFERENCE ON FRONTIERS IN HANDWRITING RECOGNITION (ICFHR), 2016, : 560 - 565
  • [29] SVM Based Off-Line Handwritten Digit Recognition
    Katiyar, Gauri
    Mehfuz, Shabana
    2015 ANNUAL IEEE INDIA CONFERENCE (INDICON), 2015,
  • [30] Off-Line Cursive Handwritten Tamil Character Recognition
    Kannan, R. Jagadeesh
    Prabhakar, R.
    Suresh, R. M.
    SECTECH: 2008 INTERNATIONAL CONFERENCE ON SECURITY TECHNOLOGY, PROCEEDINGS, 2008, : 159 - +
12345