---
res:
  bibo_abstract:
  - An effective character recognition procedure implemented on a new type of hardware
    system and using a new architecture called CNND is proposed. This CNND contains
    one or more analog cellular neural networks (CNNs) and some digital logic, combining
    the advantages of the fast analog CNN signal processing and the fast and easy
    decision capability of digital logic. It is shown that the CNND system can be
    used for recognition of multifont printed or handwritten characters and could
    recognize 100,000 char/s with a recognition rate of more than 95%. The more advantage
    of the system over competing types is that there is not an extra feature extraction
    procedure implemented in slow hardware@eng
  bibo_authorlist:
  - foaf_Person:
      foaf_givenName: Tamas
      foaf_name: Sziranyi, Tamas
      foaf_surname: Sziranyi
  - foaf_Person:
      foaf_givenName: Jozsef L
      foaf_name: Csicsvari, Jozsef L
      foaf_surname: Csicsvari
      foaf_workInfoHomepage: http://www.librecat.org/personId=3FA14672-F248-11E8-B48F-1D18A9856A87
    orcid: 0000-0002-5193-4036
  bibo_doi: 10.1109/82.222823
  bibo_issue: '3'
  bibo_volume: 40
  dct_date: 1993^xs_gYear
  dct_isPartOf:
  - http://id.crossref.org/issn/1057-7130
  dct_language: eng
  dct_publisher: IEEE@
  dct_title: High-speed character recognition using a dual cellular neural network
    architecture (CNND)@
...