2012
DOI: 10.1007/s10851-012-0355-x
|View full text |Cite
|
Sign up to set email alerts
|

Fast Component-Based QR Code Detection in Arbitrarily Acquired Images

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
17
0

Year Published

2016
2016
2024
2024

Publication Types

Select...
4
4

Relationship

0
8

Authors

Journals

citations
Cited by 34 publications
(20 citation statements)
references
References 16 publications
0
17
0
Order By: Relevance
“…As usual, the first step consists in the mapping intensity of each color pixel to more appropriate array. Therefore, the functions for this mapping include image size normalization, contrast enhancement, noise reduction, pseudocolored gray scale or integral image generation, local or global image feature extraction in space, frequency, or other domains [8][9][10]. In this step, the selection of particular image preprocessing technique determines the expected complexity of QR code scanner as well as precision and speed of symbol detection and recognition.…”
Section: Modern Techniques For Qr Code Detection and Recognitionmentioning
confidence: 99%
See 2 more Smart Citations
“…As usual, the first step consists in the mapping intensity of each color pixel to more appropriate array. Therefore, the functions for this mapping include image size normalization, contrast enhancement, noise reduction, pseudocolored gray scale or integral image generation, local or global image feature extraction in space, frequency, or other domains [8][9][10]. In this step, the selection of particular image preprocessing technique determines the expected complexity of QR code scanner as well as precision and speed of symbol detection and recognition.…”
Section: Modern Techniques For Qr Code Detection and Recognitionmentioning
confidence: 99%
“…One of the common approaches for QR symbol detection is based on analysis of regular componentconnected regions in arbitrarily acquired images using intensity of pixel as discriminator for searching particularly, QR position detection patterns (PDPs) [2,8,9]. Then each connected region is labeled using geometrical restrictions among detected components finding the presence of three corners with PDPs.…”
Section: Modern Techniques For Qr Code Detection and Recognitionmentioning
confidence: 99%
See 1 more Smart Citation
“…Every barcode begins with a special character and ends with a special stop character which helps the reader to detect the barcode and figure out whether it is being scanned forward or backward. By this, barcodes provide a rapid, accurate, and efficient means to collect, process, transmit, record, and manage data [8]. This Barcode reader can be installed easily in banks, automated teller machines, smart phones, hospitals, colleges, schools, markets, shopping places, malls etc.…”
Section: About Barcode and Its Working Principlementioning
confidence: 99%
“…L i n and F u h [1] proposed a serial of carefully designed preprocessing methods to decode QR code images. B e l u s s i and H i r a t a in [2,3], proposed a fast component-based two-stage approach for detecting QR codes in arbitrarily acquired images. Moreover O h b u c h i, H a n a i z u m i and H o c k [4] and Y. Liu, J. Y a n g and M. L i u [5] focused on enabling mobile phone to recognize QR code under poor conditions in real time.…”
Section: Introductionmentioning
confidence: 99%