A projection based statistical approach for handwritten character recognition

被引：1
|
作者：
Pal, Sarbajit [1 ]
Mitra, Jhimli [2 ]
Ghose, Soumya [2 ]
Banerjee, Paromita [3 ]
机构：
[1] VECC, Accelerator Instrumentat Automat Dept, Kolkata, India
[2] JIS Coll Engn, MCA Dept, Kalyani, West Bengal, India
[3] Heritage Inst Technol, Dept IT, Kolkata, India
来源：
ICCIMA 2007: INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND MULTIMEDIA APPLICATIONS, VOL II, PROCEEDINGS | 2007年
关键词：
projection; notch elimination; polygonal approximation; segmentation; correlation;
D O I：
10.1109/ICCIMA.2007.270
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The aim of this paper is to recognize tipper-case English alphabets from handwritten documents. An OC system based on four-sided projections of an alphabet is proposed. The projection points are approximated polygons and feature points are extracted subsequently for notch elimination and segmentation of the polygo The resulting segments are smoothed by Bezier approximation. Statistical matching technique is successful applied for character recognition.
引用
收藏
页码：404 / +
页数：2
相关论文
共 50 条
  • [1] A STATISTICAL APPROACH FOR HANDWRITTEN CHARACTER RECOGNITION USING BAYESIAN FILTER
    Araki, Nozomu
    Konishi, Yasuo
    Ishigaki, Hiroyuki
    INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL, 2009, 5 (11B): : 4033 - 4040
  • [2] A structural/statistical feature based vector for handwritten character recognition
    Heutte, L
    Paquet, T
    Moreau, JV
    Lecourtier, Y
    Olivier, C
    PATTERN RECOGNITION LETTERS, 1998, 19 (07) : 629 - 641
  • [3] Online continues Vietnamese handwritten character recognition based on microsoft handwritten character recognition library
    Tao, Ngo Quoc
    Van Hung, Pham
    2006 IEEE ASIA PACIFIC CONFERENCE ON CIRCUITS AND SYSTEMS, 2006, : 2024 - +
  • [4] Combining multiple classifiers based on a statistical method for handwritten Chinese character recognition
    Lin, L
    Wang, XL
    INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, 2005, 19 (08) : 1027 - 1040
  • [5] Combining multiple classifiers based on statistical method for handwritten Chinese character recognition
    Lin, L
    Wang, XL
    Liu, BQ
    2002 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-4, PROCEEDINGS, 2002, : 252 - 255
  • [6] Local texture descriptors and projection histogram based handwritten Meitei Mayek character recognition
    Sanasam Inunganbi
    Prakash Choudhary
    Khumanthem Manglem Singh
    Multimedia Tools and Applications, 2020, 79 : 2813 - 2836
  • [7] Local texture descriptors and projection histogram based handwritten Meitei Mayek character recognition
    Inunganbi, Sanasam
    Choudhary, Prakash
    Singh, Khumanthem Manglem
    MULTIMEDIA TOOLS AND APPLICATIONS, 2020, 79 (3-4) : 2813 - 2836
  • [8] Stroke based handwritten character recognition
    Department of Mechanical, Computer and Aerospace Engineerings, University of León, Spain
    Lect. Notes Comput. Sci., PART 1 (343-351):
  • [9] Stroke Based Handwritten Character Recognition
    Alvarez, D.
    Fernandez, R.
    Sanchez, L.
    HYBRID ARTIFICIAL INTELLIGENT SYSTEMS, PT I, 2012, 7208 : 343 - 351
  • [10] Handwritten Chinese character recognition by metasynthetic approach
    Hao, HW
    Xiao, XH
    Dai, RW
    PATTERN RECOGNITION, 1997, 30 (08) : 1321 - 1328
12345