Bar code recognition in highly distorted and low resolution images

被引：0

作者：

Shams, Ramtin ^{[1
]}

Sadeghi, Parastoo ^{[1
]}

机构：

[1] Australian Natl Univ, Res Sch Informat Sci & Engn, Canberra, ACT 0200, Australia

来源：

2007 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOL I, PTS 1-3, PROCEEDINGS | 2007年

关键词：

bar codes; feature extraction; image segmentation; pattern recognition; peak detection;

D O I：

暂无

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

In this paper, we present a novel approach to detection of one dimensional bar code images. Our algorithm is particularly designed to recognize bar codes, where the image may be of low resolution, low quality or suffer from substantial blurring, de-focusing, non-uniform illumination, noise and color saturation. The algorithm is accurate, fast, scalable and can be easily adjusted to search for a valid result within a specified time constraint. Our algorithm is particulary useful for real-time recognition of bar codes in portable hand-held devices with limited processing capability, such as mobile phones.

引用

页码：737 / 740

页数：4

共 50 条

[11] Motion Descriptor for Human Gesture Recognition in Low Resolution Images
Ferreira, Antonio
Silva, Guilherme
Dias, Andre
Martins, Alfredo
Campilho, Aurelio
ROBOT 2015: SECOND IBERIAN ROBOTICS CONFERENCE: ADVANCES IN ROBOTICS, VOL 1, 2016, 417 : 297 - 308
[12] Fish Recognition from Low-resolution Underwater Images
Sun, Xin
Shi, Junyu
Dong, Junyu
Wang, Xinhua
2016 9TH INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, BIOMEDICAL ENGINEERING AND INFORMATICS (CISP-BMEI 2016), 2016, : 471 - 476
[13] Recognition of low-resolution objects in remote sensing images
Knyaz, Vladimir
IMAGE AND SIGNAL PROCESSING FOR REMOTE SENSING XXV, 2019, 11155
[14] A HIGH-RESOLUTION BAR CODE READER
BURKETT, H
FRAZIER, G
IEEE TRANSACTIONS ON CONSUMER ELECTRONICS, 1983, 29 (03) : 443 - 449
[15] Characteristics of laser scanning for bar code recognition
Shen, SQ
Shen, YC
Fan, R
Xu, DX
AUTOMATED OPTICAL INSPECTION FOR INDUSTRY: THEORY, TECHNOLOGY, AND APPLICATIONS II, 1998, 3558 : 487 - 490
[16] A New Method for Bar Code Localization and Recognition
Wu Xin-sheng
Qiao Lian-zhi
Deng Jun
PROCEEDINGS OF THE 2009 2ND INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, VOLS 1-9, 2009, : 901 - +
[17] Designed and Development of Embedded QR Code Bar Code Recognition System
Cheng, Zhimei
Zhu, Hongqin
ADVANCED COMPOSITE MATERIALS, PTS 1-3, 2012, 482-484 : 812 - 816
[18] Pose-Robust Recognition of Low-Resolution Face Images
Biswas, Soma
Aggarwal, Gaurav
Flynn, Patrick J.
2011 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), 2011, : 601 - 608
[19] Recognition of facial images with low resolution using a Hopfield memory model
Dai, Y
Nakano, Y
AUDIO- AND VIDEO-BASED BIOMETRIC PERSON AUTHENTICATION, 1997, 1206 : 153 - 160
[20] Pose-Robust Recognition of Low-Resolution Face Images
Biswas, Soma
Aggarwal, Gaurav
Flynn, Patrick J.
Bowyer, Kevin W.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2013, 35 (12) : 3037 - 3049

← 1 2 3 4 5 →