Channel Distortion to QR Codes

Matias A. Botoluzzi, Alexandre Campos, Osmar M. dos Santos, Andrei P. Legg and Renato Machado

DOI: 10.14209/sbrt.2018.288

Evento: XXXVI Simpósio Brasileiro de Telecomunicações e Processamento de Sinais (SBrT2018)

Keywords: QR code camera channel image degradation synchronization success rate

Abstract

In this paper we analyze the distortion limits of the Quick Response (QR) code decoder (available in Google open-source 1D/2D barcode image processing library Zxing-2.1) under common sources of camera channel impairments which are: motion and defocus blur, lighting reduction, barrel and pincushion distortion, Gaussian and salt and pepper noise. Tests are conducted in a controlled scenario where black and white QR code was subject to real world distortions taken individually. Image degradation was evaluated in terms of synchronization success rate (SSR) and peak signal-to-noise ratio (PSNR). We concluded that QR code is more robust against pincushion distortion, where the SSR is obtained with only 5.58 dB of PSNR.

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