Notice of retraction
Vol. 32, No. 8(2), S&M2292

ISSN (print) 0914-4935
ISSN (online) 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
Sensors and Materials
is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.

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Barcode Recognition for Multistrip Lateral Flow Assay Reader

Ji-Seong Park, Yong-Oh Lee, Chan-Young Park, Yu-Seop Kim, Ki-Bong Nahm, and Jong-Dae Kim

(Received June 30, 2020; Accepted October 6, 2020)

Keywords: lateral flow strip, barcode, template matching, device-to-device deviation

This paper presents a method of recognizing the barcodes of individual strip using a single camera in a quantitative fluorescence analysis system that can process multiple lateral-flow strips simultaneously. The proposed method eliminates the need for multiple scanners or a scanning mechanism. The presence or absence of strips in each slot was determined, and the position of the start bit was detected by template matching to find the barcode area. After the start bit was located, the rest of the bit area was found using the barcode dimensions and the estimated image spatial resolution obtained while calibrating the instrument. The value of each bit was determined using the average along the central line with 60% of the width of the bit area. Sixteen cartridge images were obtained under various illuminations to statistically evaluate the thresholds for the investigation of various parameters such as the existence of the strip, the successful detection of the start bit position, and each bit value. The threshold values were determined using the two-class mixed Gaussian model to minimize errors. Experimental results show that the error rates for all parameters were negligible.

Corresponding author: Jong-Dae Kim




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