A novel feature recognition neural network and its application to character recognition

Author

Hussain, Basit ; Kabuka, M.R.

Author_Institution

Dept. of Electr. & Comput. Eng., Miami Univ., Coral Gables, FL, USA

Volume

16

Issue

1

fYear

1994

fDate

1/1/1994 12:00:00 AM

Firstpage

98

Lastpage

106

Abstract

Presents a feature recognition network for pattern recognition that learns the patterns by remembering their different segments. The base algorithm for this network is a Boolean net algorithm that the authors developed during past research. Simulation results show that the network can recognize patterns after significant noise, deformation, translation and even scaling. The network is compared to existing popular networks used for the same purpose, especially the Neocognitron. The network is also analyzed as regards to interconnection complexity and information storage/retrieval

Keywords

character recognition; neural nets; pattern recognition; Boolean net algorithm; Neocognitron; character recognition; deformation; feature recognition neural network; information storage/retrieval; interconnection complexity; noise; scaling; translation; Character recognition; Error analysis; Fuzzy sets; Image analysis; Image recognition; Machine intelligence; Machine vision; Neural networks; Pattern recognition; Performance analysis;

fLanguage

English

Journal_Title

Pattern Analysis and Machine Intelligence, IEEE Transactions on

Publisher

ieee

ISSN

0162-8828

Type

jour

DOI

10.1109/34.273711

Filename

273711