Handwritten ZIP code Classification Using Artificial Neural Networks

被引：0
|
作者：
Kumar, K. Siva [1 ]
Devi, D. Uma [2 ]
机构：
[1] JNTU, Sri Mittapalli Coll Engn, Kakinada, India
[2] Sri Mittapalli Coll Engn, CSE Dept, Tummalapalem, Guntur, India
来源：
INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND NETWORK SECURITY | 2013年 / 13卷 / 08期
关键词：
ZIP code; Handwritten ZIP code; Pattern Recognition; Neural Network; Artificial Neural Network; Classification; NPR Tool; Slope correction and Slant correction;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A new mechanism proposes the use of Artificial Neural Network (ANN) models for classifying handwritten zip-codes and also presents new techniques for to extract digits from zip-code images. Remove the slope and slant from handwritten zip-codes and normalize the size of Digit images with our proposed methods. Experiments have been conducted on handwritten ZIP codes and the classifying rates up to 99% achieved.
引用
收藏
页码：77 / 81
页数：5
相关论文
共 50 条
  • [1] Handwritten ZIP code recognition
    Dzuba, G
    Filatov, A
    Volgunin, A
    PROCEEDINGS OF THE FOURTH INTERNATIONAL CONFERENCE ON DOCUMENT ANALYSIS AND RECOGNITION, VOLS 1 AND 2, 1997, : 766 - 770
  • [2] Handwritten signature authentication using artificial neural networks
    Heinen, Milton Roberto
    Osorio, Fernando Santos
    2006 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORK PROCEEDINGS, VOLS 1-10, 2006, : 5012 - 5019
  • [3] Classification of handwritten numerals using modular neural networks
    Lim, KT
    Nam, YS
    Kim, HK
    Chien, SI
    IC-AI'2000: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOL 1-III, 2000, : 875 - 881
  • [4] HANDWRITTEN CHARACTER RECOGNITION SYSTEM USING ARTIFICIAL NEURAL NETWORKS
    Gorgel, Pelin
    Oztas, Oguzhan
    ISTANBUL UNIVERSITY-JOURNAL OF ELECTRICAL AND ELECTRONICS ENGINEERING, 2007, 7 (01): : 309 - 313
  • [5] Improved handwritten digit recognition using artificial neural networks
    Swain, Debabrata
    Parmar, Badal
    Shah, Hansal
    Gandhi, Aditya
    INTERNATIONAL JOURNAL OF COMPUTING SCIENCE AND MATHEMATICS, 2023, 17 (04) : 353 - 370
  • [6] Source Code Classification Using Neural Networks
    Gilda, Shlok
    PROCEEDINGS OF 2017 14TH INTERNATIONAL JOINT CONFERENCE ON COMPUTER SCIENCE AND SOFTWARE ENGINEERING (JCSSE), 2017,
  • [7] Classification of Persian Handwritten Digits Using Spiking Neural Networks
    Kiani, Kourosh
    Korayem, Elmira Mohsenzadeh
    2015 2ND INTERNATIONAL CONFERENCE ON KNOWLEDGE-BASED ENGINEERING AND INNOVATION (KBEI), 2015, : 1113 - 1116
  • [8] Vectorized Code Implementation of Logistic Regression and Artificial Neural Networks to Recognize Handwritten Digit
    Farooq, Faizan
    Tandon, Siddhant
    Parashar, Pankaj
    Sengar, Prateek
    PROCEEDINGS OF THE FIRST IEEE INTERNATIONAL CONFERENCE ON POWER ELECTRONICS, INTELLIGENT CONTROL AND ENERGY SYSTEMS (ICPEICES 2016), 2016,
  • [9] Backpropagation Applied to Handwritten Zip Code Recognition
    LeCun, Y.
    Boser, B.
    Denker, J. S.
    Henderson, D.
    Howard, R. E.
    Hubbard, W.
    Jackel, L. D.
    NEURAL COMPUTATION, 1989, 1 (04) : 541 - 551
  • [10] STRUCTURAL CLASSIFICATION AND RELAXATION MATCHING OF TOTALLY UNCONSTRAINED HANDWRITTEN ZIP-CODE NUMBERS
    LAM, L
    SUEN, CY
    PATTERN RECOGNITION, 1988, 21 (01) : 19 - 31
12345