Feature extraction based on LBP in bar code detection

Ruming Yang; Meng Ding; Jie Wang; Xu Zhang

doi:10.1117/12.2293041

15 November 2017 Feature extraction based on LBP in bar code detection

Ruming Yang, Meng Ding, Jie Wang, Xu Zhang

Proceedings Volume 10605, LIDAR Imaging Detection and Target Recognition 2017; 106052F (2017) https://doi.org/10.1117/12.2293041
Event: LIDAR Imaging Detection and Target Recognition 2017, 2017, Changchun, China

Abstract

In order to compare the effects of traditional LBP operators and various improved Local Binary Patterns (LBP) operators’ ability on feature extraction and classification. In this paper, the LBP feature is extracted by slidin g window method. The integrity of the texture information extracted by different LBP operators and the com putational complexity and detection effect are compared. The effects of sliding window parameters on the de tection effect is studied respectively.

Citation Download Citation

Ruming Yang, Meng Ding, Jie Wang, and Xu Zhang "Feature extraction based on LBP in bar code detection", Proc. SPIE 10605, LIDAR Imaging Detection and Target Recognition 2017, 106052F (15 November 2017); https://doi.org/10.1117/12.2293041

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available