Efficient Embedded Neural-Network-Based License Plate Recognition System


In this paper, a video processing methodology for a field-programmable gate array (FPGA)-based license plate recognition (LPR) system is researched. The raster scan video is used as an input with low memory utilization. During the design, Gabor filter, threshold, and connected component labeling (CCL) algorithms are used to obtain license plate region. This… (More)
DOI: 10.1109/TVT.2008.915524


20 Figures and Tables


Citations per Year

62 Citations

Semantic Scholar estimates that this publication has 62 citations based on the available data.

See our FAQ for additional information.

Slides referencing similar topics