Study on segmentation algorithm for unconstrained handwritten numeral strings

被引：0
|
作者：
Chuang, Z [1 ]
Ming, W [1 ]
Jun, G [1 ]
机构：
[1] Beijing Univ Posts & Telecommun, Lab PRIS, Beijing 100876, Peoples R China
来源：
KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT 3, PROCEEDINGS | 2004年 / 3215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：
In this paper, an integrated system of segmenting unconstrained handwritten numeral strings with unknowing number of digits is proposed, which consists of the extraction of connected components based on vertical projection and isolated components analysis, the length estimation of connected components using syntax analysis and waveform analysis and the segmentation of unconstrained connected handwritten numeral strings using innovative reverse "drop-falling" algorithm. This segmentation system which has promising results is then incorporated into a complete bank check character recognition system.
引用
收藏
页码：632 / 642
页数：11
相关论文
共 50 条
  • [1] Study on segmentation algorithm for unconstrained handwritten numeral strings
    Zhang, C
    Lin, ZQ
    Guo, J
    PROCEEDINGS OF THE 2005 INTERNATIONAL CONFERENCE ON NEURAL NETWORKS AND BRAIN, VOLS 1-3, 2005, : 1242 - 1247
  • [2] Automatic segmentation of unconstrained handwritten numeral strings
    Sadri, J
    Suen, CY
    Bui, TD
    NINTH INTERNATIONAL WORKSHOP ON FRONTIERS IN HANDWRITING RECOGNITION, PROCEEDINGS, 2004, : 317 - 322
  • [3] Segmentation algorithm for unconstrained handwritten numeral strings in bank check reader system
    Zhang, Chuang
    Lin, Zhi-Qing
    Xiao, Bo
    Guo, Jun
    Beijing Youdian Daxue Xuebao/Journal of Beijing University of Posts and Telecommunications, 2006, 29 (01): : 13 - 16
  • [4] A system for segmentation and recognition of totally unconstrained handwritten numeral strings
    Shi, Z
    Srihari, SN
    Shin, YC
    Ramanaprasad, V
    PROCEEDINGS OF THE FOURTH INTERNATIONAL CONFERENCE ON DOCUMENT ANALYSIS AND RECOGNITION, VOLS 1 AND 2, 1997, : 455 - 458
  • [5] Segmentation of unconstrained handwritten numeral strings using continuation property
    Yoon, S
    Kim, K
    Choi, Y
    Lee, Y
    DOCUMENT RECOGNITION AND RETRIEVAL VIII, 2001, 4307 : 353 - 362
  • [6] Recognition of unconstrained handwritten numeral strings by composite segmentation method
    Kim, KK
    Kim, JH
    Suen, CY
    15TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL 2, PROCEEDINGS: PATTERN RECOGNITION AND NEURAL NETWORKS, 2000, : 594 - 597
  • [7] Algorithm of the length estimation of unconstrained handwritten connected numeral strings
    Zhang, Chuang
    Wu, Ming
    Guo, Jun
    Beijing Youdian Daxue Xuebao/Journal of Beijing University of Posts and Telecommunications, 2004, 27 (03): : 63 - 67
  • [8] Segmentation of connected handwritten numeral strings
    Elnagar, A
    Alhajj, R
    PATTERN RECOGNITION, 2003, 36 (03) : 625 - 634
  • [9] CONTEXT-DIRECTED SEGMENTATION ALGORITHM FOR HANDWRITTEN NUMERAL STRINGS
    SHRIDHAR, M
    BADRELDIN, A
    IMAGE AND VISION COMPUTING, 1987, 5 (01) : 3 - 9
  • [10] Segmentation and recognition of connected handwritten numeral strings
    Shi, ZX
    Govindaraju, V
    PATTERN RECOGNITION, 1997, 30 (09) : 1501 - 1504
12345