MLPNN Based Handwritten Character Recognition Using Combined Feature Extraction

被引：0
|
作者：
Katiyar, Gauri [1 ]
Mehfuz, Shabana [1 ]
机构：
[1] Jamia Millia Islamia, Dept Elect Engn, New Delhi, India
来源：
2015 INTERNATIONAL CONFERENCE ON COMPUTING, COMMUNICATION & AUTOMATION (ICCCA) | 2015年
关键词：
Handwritten character recognition; multilayer feed forward neural network; feature extraction; NEURAL-NETWORKS;
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：
Statistical techniques for off-line character recognition are not flexible and adaptive enough for new handwriting constraints. Offline handwritten character recognition of English alphabets using a three layered feed forward neural network is presented in this paper. The proposed recognition system describes the evaluation of feed forward neural network by combining four different feature extraction approaches(box approach, diagonal distance approach, mean and gradient operations). The proposed recognition system performs well on the benchmark dataset CEDAR (Centre of Excellence for Document Analysis And Recognition).
引用
收藏
页码：1155 / 1159
页数：5
相关论文
共 50 条
  • [31] 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
  • [32] Feature extraction by hierarchical overlapped elastic meshing for handwritten Chinese character recognition
    Wu, TL
    Ma, SP
    SEVENTH INTERNATIONAL CONFERENCE ON DOCUMENT ANALYSIS AND RECOGNITION, VOLS I AND II, PROCEEDINGS, 2003, : 529 - 533
  • [33] Multi-stage Feature Extraction in Offline Handwritten Chinese Character Recognition
    Wu, Xianglian
    Shu, Chang
    Zhou, Ning
    PATTERN RECOGNITION (CCPR 2016), PT II, 2016, 663 : 474 - 485
  • [34] An intelligent feature analyzer for handwritten character recognition
    Mahmud, Jalal
    International Conference on Computational Intelligence for Modelling, Control & Automation Jointly with International Conference on Intelligent Agents, Web Technologies & Internet Commerce, Vol 2, Proceedings, 2006, : 763 - 768
  • [35] Handwritten Bengali Numeral Recognition using HOG Based Feature Extraction Algorithm
    Choudhury, Amitava
    Rana, Hukam Singh
    Bhowmik, Tanmay
    2018 5TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND INTEGRATED NETWORKS (SPIN), 2018, : 687 - 690
  • [36] Writer Adaptive Feature Extraction Based on Convolutional Neural Networks For Online Handwritten Chinese Character Recognition
    Du, Jun
    Zhai, Jian-Fang
    Hu, Jin-Shui
    Zhu, Bo
    Wei, Si
    Dai, Li-Rong
    2015 13TH IAPR INTERNATIONAL CONFERENCE ON DOCUMENT ANALYSIS AND RECOGNITION (ICDAR), 2015, : 841 - 845
  • [37] A Feature Selection Algorithm for Handwritten Character Recognition
    Cordella, L.
    De Stefano, C.
    Fontanella, F.
    Marrocco, C.
    19TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOLS 1-6, 2008, : 2727 - 2730
  • [38] Research on Feature Extraction Method for Handwritten Chinese Character Recognition Based on Supervised Independent Component Analysis
    Liu Zemin
    He Zhiguo
    Cao Yudong
    ADVANCED TECHNOLOGIES IN MANUFACTURING, ENGINEERING AND MATERIALS, PTS 1-3, 2013, 774-776 : 1636 - 1641
  • [39] On-line handwritten alphanumeric character recognition using feature sequences
    Li, XL
    Yeung, DY
    IMAGE ANALYSIS APPLICATIONS AND COMPUTER GRAPHICS, 1995, 1024 : 197 - 204
  • [40] Handwritten Marathi character recognition using R-HOG Feature
    Kamble, Parshuram M.
    Hegadi, Ravinda S.
    INTERNATIONAL CONFERENCE ON ADVANCED COMPUTING TECHNOLOGIES AND APPLICATIONS (ICACTA), 2015, 45 : 266 - 274
12345