System Level Design of a Pattern Recognition System Based on the Gabor Wavelets

Abstract : In this paper we will address the system level design of pattern recognition architectures. The system targeted uses Gabor wavelets for the multi-frequency and multi-scale analysis of gray scale images. The macro-blocks or macro-functions architectures are developed in sight of the integration of a system-on-a-chip. We have faced two basic design problems. First, to which extent the algorithms can be simplified to fit a hardware implementation? Second, how the functionality will be partitioned to fit an optimal hardware/software system? To carry out these operations we have relied on a design methodology taking into account the realization constraints early in the design stages. We used a fast cycle precise simulator to attempt and evaluate many hardware/software alternatives.
Document type :
Conference papers
Complete list of metadatas

https://hal.archives-ouvertes.fr/hal-01618062
Contributor : Lip6 Publications <>
Submitted on : Tuesday, October 17, 2017 - 2:03:55 PM
Last modification on : Thursday, March 21, 2019 - 2:32:53 PM

Identifiers

Citation

Mourad Aberbour, Habib Mehrez, François Durbin, Thierry Garié, André Tissot. System Level Design of a Pattern Recognition System Based on the Gabor Wavelets. IEEE-SP Conference on Time-Frequency Time-Scale Analysis (TFTS'98), Oct 1998, Pittsburgh, PA, United States. pp.237-240, ⟨10.1109/TFSA.1998.721405⟩. ⟨hal-01618062⟩

Share

Metrics

Record views

134