Bar code standardization by creating new symbology

Ovaj članak predlaže novu tipizaciju bar koda koja pojednostavljuje korištenje bilo kojeg dvodimenzionalnog matričnog bar koda na tržištu iz perspektive korisnika, istovremeno poštujući pravila svakog od njih. Predlaganjem nove tipizacije postojeći funkcijski uzorci su prebačeni u digitalni prostor i dodatni su dijelovi ugrađeni. Dodavanjem dijela koji se zove obrub (the rim), bilo koji 2D matrični bar kod može imati iste funkcijske uzorke i biti prepoznatljiv korisniku, što omogućuje standardizaciju bar koda. Prateći korake u ovom članku, za svaki 2D matrični bar kod, obrub se može precizno izračunati. Nova tipizacija također može imati dva različita bar koda u isto vrijeme implementiranjem maski koje mogu transformirati bitove kako bi se formirao željeni grafiči uzorak. Ovim se istraživanjem pridonosi cijelokupnoj standardizaciji 2D matričnih bar kodova što će omogućiti korisnicima identificiranje bilo kojeg tipa 2D matričnog bar koda na isti način kao i druge 2D matrične bar kod tipizacije. Ovom metodom moguće je stvoriti jednostavnije bar kodove za korisnika.This paper proposes a new symbology which eases the use of any two-dimensional matrix bar code on the market from a user perspective, respecting the rules of each 2D matrix bar code. By proposing a new symbology, the exisiting function patterns are transfered into a digital space and additional parts are added. By adding a part called the rim, any 2D matrix bar code can have the same function patterns and can be recognizable to the user, which enables the bar code standardization. For each 2D matrix bar code the rim can be precisely calculated. It can also carry two different 2D bar codes by implementing masks which can rearrange bits to form the desired graphic pattern. This research will contribute overall 2D matrix bar code standardization which will enable users to identify 2D matrix bar codes in the same way as other 2D matrix bar code symbologies. With this method a more user friendly bar code can be achieved

Low resolution QR-code recognition by applying super-resolution using the property of QR-codes

Abstract-This paper proposes a method for low resolution QR-code recognition. A QR-code is a two-dimensional binary symbol that can embed various information such as characters and numbers. To recognize a QR-code correctly and stably, the resolution of an input image should be high. In practice, however, recognition of a QR-code is usually difficult due to low resolution when it is captured from a distance. In this paper, we propose a method to improve the performance of low resolution QR-code recognition by using the super-resolution technique that generates a high resolution image from multiple low-resolution images. Although a QR-code is a binary pattern, it is observed as a grayscale image due to the degradation through the capturing process. Especially the pixels around the borders between white and black regions become ambiguous. To overcome this problem, the proposed method introduces a binary pattern constraint to generate super-resolved images appropriate for recognition. Experimental results showed that a recognition rate of 98% can be achieved by the proposed method, which is a 15.7% improvement in comparison with a method using a conventional super-resolution method