Emergent computation in semitotalistic cellular automata: applications in character segmentation

Author

Dogaru, Radu ; Dogaru, Ioana ; Glesner, Manfred

Author_Institution

Dept. of Appl. Electron. & Inf. Eng., Polytech. Univ. of Bucharest, Romania

Volume

2

fYear

2004

fDate

4-6 Oct. 2004

Firstpage

451

Abstract

An innovative method of character segmentation is introduced based on emergent computation in simple cellular automata systems. It is shown that the nontrivial function of character segmentation and recognition can be performed with a low computational complexity. This provides the basis for a compact VLSI circuit implementation of a robust intelligent sensor, which can be used in a wide range of applications (e.g., remote OCR or license plate recognition).

Keywords

VLSI; cellular automata; character recognition; computational complexity; feature extraction; image segmentation; intelligent sensors; VLSI circuit implementation; character recognition; character segmentation; computational complexity; emergent computation; feature extraction; license plate recognition; nontrivial function; remote OCR; robust intelligent sensor; semitotalistic cellular automata; very large scale integration circuit; Automata; Cameras; Character generation; Character recognition; Face recognition; Image segmentation; Licenses; Microelectronics; Optical character recognition software; Robustness;

fLanguage

English

Publisher

ieee

Conference_Titel

Semiconductor Conference, 2004. CAS 2004 Proceedings. 2004 International

Print_ISBN

0-7803-8499-7

Type

conf

DOI

10.1109/SMICND.2004.1403046

Filename

1403046