Handprinted Hiragana recognition using support vector machines

被引：3
|
作者：
Maruyama, K [1 ]
Maruyama, M [1 ]
Miyao, H [1 ]
Nakano, Y [1 ]
机构：
[1] Shinshu Univ, Dept Informat Engn, Nagano, Japan
来源：
EIGHTH INTERNATIONAL WORKSHOP ON FRONTIERS IN HANDWRITING RECOGNITION: PROCEEDINGS | 2002年
关键词：
D O I：
10.1109/IWFHR.2002.1030884
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper describes a method to improve the cumulative recognition rates of pattern recognition using Decision Directed Acyclic Graph (DDAG) based on support vector machines (SVM). Though the original DDAG has high level of performance and its execution speed is fast, it does not consider the so-called cumulative recognition rate. We construct DDAG which can incorporate the cumulative recognition rate. As a result of our experiment for the hand-printed Hiragana characters in JEITA-HP, the cumulative recognition rate is improved and its execution time is almost the same as the original DDAG and 30 times faster than Mar Win Algorithm which is one of famous recognition methods using support vector machines for a multi-class problem.
引用
收藏
页码：55 / 60
页数：4
相关论文
共 50 条
  • [1] Iris recognition using support vector machines
    Wang, Y
    Han, JQ
    ADVANCES IN NEURAL NETWORKS - ISNN 2004, PT 1, 2004, 3173 : 622 - 628
  • [2] Speech Recognition using Support Vector Machines
    Aida-zade, Kamil
    Xocayev, Anar
    Rustamov, Samir
    2016 IEEE 10TH INTERNATIONAL CONFERENCE ON APPLICATION OF INFORMATION AND COMMUNICATION TECHNOLOGIES (AICT), 2016, : 108 - 111
  • [3] RECOGNITION OF REPETITIONS USING SUPPORT VECTOR MACHINES
    Palfy, Juraj
    Pospichal, Jiri
    SPA 2011: SIGNAL PROCESSING ALGORITHMS, ARCHITECTURES, ARRANGEMENTS, AND APPLICATIONS CONFERENCE PROCEEDINGS, 2011, : 79 - 84
  • [4] Supernova recognition using Support Vector Machines
    Ramano, Raquel A.
    Aragon, Cecilia R.
    Ding, Chris
    ICMLA 2006: 5TH INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND APPLICATIONS, PROCEEDINGS, 2006, : 77 - +
  • [5] Morse code recognition using support vector machines
    Yang, CH
    Chin, LC
    Hsieh, SC
    IEEE EMBS APBME 2003, 2003, : 220 - 222
  • [6] Face Recognition and Alignment using Support Vector Machines
    Lam, Antony
    Shelton, Christian R.
    2008 8TH IEEE INTERNATIONAL CONFERENCE ON AUTOMATIC FACE & GESTURE RECOGNITION (FG 2008), VOLS 1 AND 2, 2008, : 304 - 309
  • [7] Visual speech recognition using support vector machines
    Gordan, M
    Kotropoulos, C
    Pitas, I
    DSP 2002: 14TH INTERNATIONAL CONFERENCE ON DIGITAL SIGNAL PROCESSING PROCEEDINGS, VOLS 1 AND 2, 2002, : 1093 - 1096
  • [8] Human motion recognition using support vector machines
    Cao, Dongwei
    Masoud, Osama T.
    Boley, Daniel
    Papanikolopoulos, Nikolaos
    COMPUTER VISION AND IMAGE UNDERSTANDING, 2009, 113 (10) : 1064 - 1075
  • [9] Speech Emotion Recognition Using Support Vector Machines
    Yu, Caiming
    Tian, Qingxi
    Cheng, Fang
    Zhang, Shiqing
    ADVANCED RESEARCH ON COMPUTER SCIENCE AND INFORMATION ENGINEERING, PT I, 2011, 152 : 215 - 220
  • [10] Recognition of Greek phonemes using support vector machines
    Mporas, I
    Ganchev, T
    Zervas, P
    Fakotakis, N
    ADVANCES IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS, 2006, 3955 : 290 - 300
12345