A neural network for handwritten pattern recognition

• Type: Article in International Conference Proceedings Book
• Date: 1996

Authors

santos, nmp (Author) Other; oliveira, ed (Author) FEUP

Conference proceedings International

Title: MELECON '96 - 8TH MEDITERRANEAN ELECTROTECHNICAL CONFERENCE, PROCEEDINGS, VOLS I-III: INDUSTRIAL APPLICATIONS IN POWER SYSTEMS, COMPUTER SCIENCE AND TELECOMMUNICATIONS

Pages: 665-668

8th Mediterranean Electrotechnical Conference on Industrial Applications in Power Systems, Computer Science and Telecommunications (Melecon 96)

BARI, ITALY, MAY 13-16, 1996

Indexing

ISI Web of Knowledge - 0 Citations

Scopus - 0 Citations

Scientific classification

FOS: Engineering and technology > Electrical engineering, Electronic engineering, Information engineering

Other information

Authenticus ID: P-001-FEM

Abstract (EN): Neuroscientists are mainly interested in the study of the behavior of an all set of cells, while AI researchers study how to extract, freeze and analyze the process, by means of models, and learn the specificity of each kind of neuron's behavior. Our aim is to describe a neural network based system, inspired by the optical structure of human cortex area and its application to pattern recognition. We adopted an unsupervised learning algorithm that is applied to each presented pattern. The system's most relevant feature is its insensibility to spatial shift variance. The system's behavior is based on the identification and decomposition of the relevant input image characteristics, that will be used to achieve classification. Finally, we briefly describe a case study followed by some conclusion.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 4