Classification of handwritten digits on the web using deep learning

被引:0
|
作者
Purve, Shrawan J. [1 ]
Runwal, Rutuj [1 ]
Chandak, Mohit [1 ]
机构
[1] Shri Ramdeobaba Coll Engn & Management, Dept Comp Sci & Engn, Nagpur, India
来源
关键词
Handwriting Classification; Convolutional Neural Networks; Web Application Design-ing;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Development of a handwriting classifier using deep learning approach that can classify handwritten numbers and digits on the web. It is a deep-learning based system that uses modern algorithms and focuses on creating a portable web application that aims to classify handwritten numbers powered by the MNIST dataset.
引用
收藏
页码:192 / 198
页数:7
相关论文
共 50 条
  • [41] A Shallow Convolutional Neural Network for Accurate Handwritten Digits Classification
    Golovko, Vladimir
    Egor, Mikhno
    Brich, Aliaksandr
    Sachenko, Anatoliy
    PATTERN RECOGNITION AND INFORMATION PROCESSING, 2017, 673 : 77 - 85
  • [42] Spoken Arabic Digits Recognition Using Deep Learning
    Wazir, Abdulaziz Saleh Mahfoudh B. A.
    Chuah, Joon Huang
    2019 IEEE INTERNATIONAL CONFERENCE ON AUTOMATIC CONTROL AND INTELLIGENT SYSTEMS (I2CACIS), 2019, : 339 - 344
  • [43] Expiry Date Digits Recognition using Deep Learning
    Khan, Tareq
    PROCEEDINGS OF THE 2019 IEEE NATIONAL AEROSPACE AND ELECTRONICS CONFERENCE (NAECON), 2019, : 302 - 304
  • [44] Using Ambiguous Handwritten Digits to Induce Uncertainty
    Pon-Barry, Heather
    LREC 2014 - NINTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION, 2014,
  • [45] Recognition of handwritten digits using structural information
    Behnke, S
    Pfister, M
    Rojas, R
    1997 IEEE INTERNATIONAL CONFERENCE ON NEURAL NETWORKS, VOLS 1-4, 1997, : 1391 - 1396
  • [46] Ensemble of deep learning and machine learning approach for classification of handwritten Hindi numerals
    Rajpal D.
    Garg A.R.
    Journal of Engineering and Applied Science, 2023, 70 (01):
  • [47] DLDiagnosis: A mobile and web application for diseases classification using Deep Learning
    Mustapha, Aatila
    Abdellah, Kadem
    Mohamed, Lachgar
    Khalid, Lamhaddab
    Hamid, Hrimech
    Ali, Kartit
    SOFTWAREX, 2023, 23
  • [48] Evaluation of ensemble learning method for handwritten digits recognition using dual Leap Motions
    Kaneko, Noriaki
    Ogawa, Masakatsu
    IEICE COMMUNICATIONS EXPRESS, 2023, 12 (09): : 505 - 510
  • [49] RECOGNIZING IMAGES OF HANDWRITTEN DIGITS USING LEARNING VECTOR QUANTIZATION ARTIFICIAL NEURAL NETWORK
    Khatri, Sunil Kumar
    Dutta, Shivali
    Johri, Prashant
    2015 4TH INTERNATIONAL CONFERENCE ON RELIABILITY, INFOCOM TECHNOLOGIES AND OPTIMIZATION (ICRITO) (TRENDS AND FUTURE DIRECTIONS), 2015,
  • [50] Fast Classification of Handwritten Digits Using 2D-DCT Based Sparse PCA
    Ismailova, Darya
    Lu, Wu-Sheng
    2015 IEEE PACIFIC RIM CONFERENCE ON COMMUNICATIONS, COMPUTERS AND SIGNAL PROCESSING (PACRIM), 2015, : 131 - 135