A genetic algorithm based feature selection for handwritten digit recognition

被引：1
|
作者：
Ahlawat, Savita [1 ]
Rishi, Rahul [2 ]
机构：
[1] Department of Computer Science and Engineering, Maharaja Surajmal Institute of Technology, New Delhi,110058, India
[2] Department of Computer Science and Engineering, University Institute of Engineering and Technology, Ma-harshi Dayanand University, Rohtak,124001, India
来源：
Recent Patents on Computer Science | 2019年 / 12卷 / 04期
关键词：
D O I：
10.2174/2213275911666181120111342
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：304 / 316
相关论文
共 50 条
  • [21] NON-REDUNDANT STOCKWELL TRANSFORM BASED FEATURE EXTRACTION FOR HANDWRITTEN DIGIT RECOGNITION
    Dash, Kalyan S.
    Puhan, N. B.
    Panda, Ganapati
    [J]. 2014 INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND COMMUNICATIONS (SPCOM), 2014,
  • [22] Adhesive Handwritten Digit Recognition Algorithm Based on Improved Convolutional Neural Network
    Tang, Junyi
    Han, Ping
    Liu, Dong
    [J]. PROCEEDINGS OF 2020 IEEE INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND INFORMATION SYSTEMS (ICAIIS), 2020, : 388 - 392
  • [23] Effective Handwritten Digit Recognition Based on Multi-feature Extraction and Deep Analysis
    Ma, Caiyun
    Zhang, Hong
    [J]. 2015 12TH INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY (FSKD), 2015, : 297 - 301
  • [24] An Accelerometer-Based Digital Pen With a Trajectory Recognition Algorithm for Handwritten Digit and Gesture Recognition
    Wang, Jeen-Shing
    Chuang, Fang-Chen
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2012, 59 (07) : 2998 - 3007
  • [25] Handwritten digit recognition system based on DSP
    Miao, Hongqing
    Yin, Lixin
    Huang, Suzhen
    [J]. Jisuanji Gongcheng/Computer Engineering, 2005, 31 (04): : 178 - 180
  • [26] Handwritten Digit Recognition Based on Classification Functions
    Sasao, Tsutomu
    Horikawa, Yuto
    Iguchi, Yukihiro
    [J]. 2020 IEEE 50TH INTERNATIONAL SYMPOSIUM ON MULTIPLE-VALUED LOGIC (ISMVL 2020), 2020, : 124 - 129
  • [27] Feature selection in recognition of handwritten Chinese characters
    Zhang, LX
    Zhao, YN
    Yang, ZH
    Wang, JX
    [J]. 2002 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-4, PROCEEDINGS, 2002, : 1158 - 1162
  • [28] Feature Selection for Khmer Handwritten Text Recognition
    Annanurov, Bayram
    Noor, Norliza Mohd
    [J]. PROCEEDINGS OF THE 2017 IEEE RUSSIA SECTION YOUNG RESEARCHERS IN ELECTRICAL AND ELECTRONIC ENGINEERING CONFERENCE (2017 ELCONRUS), 2017, : 626 - 630
  • [29] Feature selection in the recognition of handwritten Chinese characters
    Leung, CH
    Sze, L
    [J]. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 1997, 10 (05) : 495 - 502
  • [30] Feature selection based on genetic algorithms and support vector machines for handwritten similar Chinese characters recognition
    Feng, J
    Yang, Y
    Wang, H
    Wang, XM
    [J]. PROCEEDINGS OF THE 2004 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7, 2004, : 3600 - 3605
12345