Rotation-invariant pattern recognition: A procedure slightly inspired on olfactory system and based on Kohonen network

被引:0
|
作者
Palermo, M. B.
Monteiro, L. H. A.
机构
[1] Univ Presbiteriana Mackenzie, Posgrad Engn Elect, Escola Engn, BR-01302907 Sao Paulo, Brazil
[2] Univ Sao Paulo, Dept Engn Telecommun & Controle, Escola Politecn, BR-05508900 Sao Paulo, Brazil
来源
ARTIFICIAL NEURAL NETWORKS - ICANN 2006, PT 2 | 2006年 / 4132卷
关键词
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
A computational scheme for rotation-invariant pattern recognition based on Kohonen neural network is developed. This scheme is slightly inspired on the vertebrate olfactory system, and its goal is to recognize spatiotemporal patterns produced in a two-dimensional cellular automaton that would represent the olfactory bulb activity when submitted to odor stimuli. The recognition occurs through a multi-layer Kohonen network that would represent the olfactory cortex. The recognition is invariant to rotations of the patterns, even when a noise lower than 1% is added.
引用
收藏
页码:444 / 450
页数:7
相关论文
共 50 条
  • [41] Image preprocessing for rotation-invariant pattern recognition in the presence of signal-dependent noise
    Terrillon, Jean-Christophe
    Applied Optics, 1996, 35 (11): : 1879 - 1893
  • [42] ROTATION-INVARIANT DIGITAL PATTERN-RECOGNITION USING CIRCULAR HARMONIC EXPANSION - A COMMENT
    DANIELSSON, PE
    APPLIED OPTICS, 1989, 28 (09): : 1613 - 1614
  • [43] NUMERICAL-SIMULATION OF NEURAL NETWORKS WITH TRANSLATION AND ROTATION-INVARIANT PATTERN-RECOGNITION
    ANTONUCCI, M
    TIROZZI, B
    YARUNIN, ND
    DOTSENKO, VS
    INTERNATIONAL JOURNAL OF MODERN PHYSICS B, 1994, 8 (11-12): : 1529 - 1541
  • [44] Rotation-invariant pattern recognition using morphological fringe-adjusted joint transform correlation
    Wang, Qu
    Liu, Shutian
    OPTIK, 2010, 121 (20): : 1824 - 1830
  • [45] MULTICHANNEL ROTATION-INVARIANT PATTERN-RECOGNITION FOR POLYCHROMATIC OBJECTS USING CIRCULAR HARMONIC FILTERS
    GARCIA, J
    FERREIRA, C
    CAMPOS, J
    BOSCH, S
    MILLAN, MS
    YZUEL, MJ
    OPTICS COMMUNICATIONS, 1992, 91 (5-6) : 425 - 432
  • [46] Pattern Recognition Using a Recurrent Neural Network Inspired on the Olfactory Bulb
    Figueira, Lucas Baggio
    Roque, Antonio Carlos
    NEW CHALLENGES ON BIOINSPIRED APPLICATIONS: 4TH INTERNATIONAL WORK-CONFERENCE ON THE INTERPLAY BETWEEN NATURAL AND ARTIFICIAL COMPUTATION, IWINAC 2011, PART II, 2011, 6687 : 275 - 285
  • [47] A Hybrid Rotation-Invariant Face Recognition System Using Log-Polar Transform
    Abdel-Kader, Rehab F.
    Ramadan, Rabab M.
    Rizk, Rawya Y.
    2009 IEEE INTERNATIONAL SYMPOSIUM ON SIGNAL PROCESSING AND INFORMATION TECHNOLOGY (ISSPIT 2009), 2009, : 585 - 590
  • [48] Lightweight and rotation-invariant place recognition network for large-scale raw point clouds
    Zhang, Zhenghua
    Liu, Hu
    Wang, Xuan
    Shu, Mingcong
    Chen, Guoliang
    Zhang, Qiuzhao
    ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2024, 212 : 58 - 72
  • [49] A RFM Pattern Recognition System Invariant to Rotation, Scale and Translation
    Solorza-Calderon, Selene
    Verdugo-Olachea, Jonathan
    PROGRESS IN PATTERN RECOGNITION, IMAGE ANALYSIS, COMPUTER VISION, AND APPLICATIONS, CIARP 2015, 2015, 9423 : 477 - 484
  • [50] Star pattern recognition based on features invariant under rotation
    Jiang D.
    Zhang K.
    Debeir O.
    Jiang, Di (dijiang@ulb.ac.be), 2017, Izdatel'stvo Nauka (27) : 532 - 537