Application research on ALBP image recognition algorithm in visual aid system for deaf people

Xiaoyi Yang; Yu Han

doi:10.1117/12.3017945

15 January 2024 Application research on ALBP image recognition algorithm in visual aid system for deaf people

Xiaoyi Yang, Yu Han

Proceedings Volume 12983, Second International Conference on Electrical, Electronics, and Information Engineering (EEIE 2023); 1298324 (2024) https://doi.org/10.1117/12.3017945
Event: Second International Conference on Electrical, Electronics, and Information Engineering (EEIE 2023), 2023, Wuhan, China

Abstract

In order to overcome the puzzle that in the complex illumination condition, the traditional LBP image feature recognition algorithm neglects the contrast between local areas and abandons some important texture feature information, which makes it difficult to eliminate the nonlinear distortion caused by intense illumination changes, this paper proposed an improved image feature recognition algorithm. The algorithm first normalizes the face image, and then projects the pixel contrast value into a certain interval with the help of the ALBP algorithm, due to that the image after processing has good illumination invariance, the image features can be recognized better by using this method. The results of comparative experiment demonstrated that the recognition rate of ALBP algorithm is 84%, and that of LBP algorithm is 75%, the former is 9% higher than the latter. The research shows that the ALBP recognition method can eliminate the nonlinear distortion of the image well under complex illumination.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Xiaoyi Yang and Yu Han "Application research on ALBP image recognition algorithm in visual aid system for deaf people", Proc. SPIE 12983, Second International Conference on Electrical, Electronics, and Information Engineering (EEIE 2023), 1298324 (15 January 2024); https://doi.org/10.1117/12.3017945

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