A Survey on PiCode: Picture-Embedding 2D Barcode

In this Review paper discusses about the last few years, conventional Two-Dimensional (2D) barcodes and some existing beautified QR codes. Quick Response (QR) code is widely used in many applications such as marketing, for industrial applications, retail applications, health care applications, manufacturing, and product tracking etc.This paper explains the basic concept of QR images, i.e. a recently proposed beautified QR code. We focus on revising preprocessing methods by proposing block division and source & channel coding methods. In the traditional decoding procedure decoding steps consist of image binarization, corner detection, perspective transformation and error correction. So the existing barcodes have some limitations, so the new picture-embedding 2D barcode system: Picode proposed. PiCode technology improves the aesthetic value of the picture embedded barcode. To preserve both the perceptual quality of the embedded image and the decoding robustness of the encoded message PiCode is designed with careful considerations. Advantage of using PiCode in advertisement business to link customers in a more interactive, interesting, and unique way. So the PiCode enable pictures/logo to be integrated with a 2D barcode to achieve enhanced visual appearance and high decoding reliability

Removing Blurness in Picode Using Enhanced Modulation

ABSTRACT The appearance of a conventional 2D barcode pattern is often too obtrusive for integrating into an aesthetically designed advertisement. This is because of the fact that they didn't provide perceptual quality and decoding robustness of the encoded images. Besides, no human readable information is provided before the barcode is successfully decoded. There proposes a new picture-embedding 2D barcode, called PiCode, which mitigates these two limitations by equipping a scannable 2D barcode with a picturesque appearance. PiCode is designed with careful considerations on both the perceptual quality of the embedded image and the decoding robustness of the encoded message. Comparisons with existing beautified 2D barcodes show that PiCode achieves one of the best perceptual quality for the embedded image, and maintains a better trade-off between image quality and decoding robustness in various application conditions. The generation of PiCode thus enhances the customers to scan the code using their mobile phones in order to retrieve the data that carries behind them

A CRAM ON PICODE PICTURE EMBEDDING 2D BARCODE

Qrcodes which is called as fast feedback code is a 2D barcodes. Qrcodes have the info regarding the thing where it is connected. Qrcode include black squares set up in a square grid where info's exist in both straight and also upright parts of the photo. This paper presents the principle of QR codes, an automated approach to conceal details making use of QR codes and also to install QR codes right into colour photos with bounded chance of discovery mistake. The embedding techniques are created to be suitable with conventional with complete location protection. The decoding procedure will certainly initially draw out the QR code from the shade photo then translating is put on the QR code to obtain the details which is ingrained inside the QR code. In the standard decoding treatment deciphering actions include picture binarization, edge discovery, and viewpoint makeover as well as mistake improvement. So the existing barcodes have some restrictions, so the brand-new picture-embedding 2D barcode system: Picode suggested. PiCode innovation enhances the visual worth of the photo ingrained barcode

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

Freeform User Interfaces for Graphical Computing

報告番号: 甲15222 ; 学位授与年月日: 2000-03-29 ; 学位の種別: 課程博士 ; 学位の種類: 博士(工学) ; 学位記番号: 博工第4717号 ; 研究科・専攻: 工学系研究科情報工学専

Third Workshop on Modelling of Objects, Components, and Agents

This booklet contains the proceedings of the Third International Workshop on Modelling of Objects, Components, and Agents (MOCA'04), October 11-13, 2004. The workshop is organised by the CPN group at the Department of Computer Science, University of Aarhus, Denmark and the "Theoretical Foundations of Computer Science" group at the University of Hamburg. The home page of the workshop is: http://www.daimi.au.dk/CPnets/workshop0