Segmentation algorithm of digital dorsal joint pattern image based on morphological operation

ZhiPing Cao; LiJun Zhu

doi:10.1117/12.2682553

20 June 2023 Segmentation algorithm of digital dorsal joint pattern image based on morphological operation

ZhiPing Cao, LiJun Zhu

Proceedings Volume 12715, Eighth International Conference on Electronic Technology and Information Science (ICETIS 2023); 127151I (2023) https://doi.org/10.1117/12.2682553
Event: Eighth International Conference on Electronic Technology and Information Science (ICETIS 2023), 2023, Dalian, China

Abstract

When using the non-contact method to collect the image of the back of the hand, in view of the problems that the different degrees of finger opening and closing affect the segmentation of the finger image, the area of interest of the knuckles of the knuckles is difficult to locate, and the image is easily affected by light, a knuckles of the knuckles of the knuckles based on morphological operations are proposed. Region of interest positioning method. In this method, a combination of opening and closing operations in morphological operations is used to construct an image mask of the back of the hand, and then the mask is used to shield the area of the back of the hand, and five images of the back of the finger are separated and angle-corrected. For the corrected image, the top-hat transformation is performed first, and then the method of combining the sliding window algorithm with image information entropy is used to locate the knuckle pattern area of the dorsum of fingers. Finally, LBP and SIFT are used for feature extraction, and support vector machine (SVM) is used as a classifier, and experimental verification is carried out on the self-built back of hand image database. The experimental results show that the proposed method can eliminate the influence of illumination and environmental noise, and can accurately and quickly locate and extract the region of interest of the dorsal knuckle pattern on the back of the hand image.

Citation Download Citation

ZhiPing Cao and LiJun Zhu "Segmentation algorithm of digital dorsal joint pattern image based on morphological operation", Proc. SPIE 12715, Eighth International Conference on Electronic Technology and Information Science (ICETIS 2023), 127151I (20 June 2023); https://doi.org/10.1117/12.2682553

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

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
6 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Image segmentation

Image processing algorithms and systems

Feature extraction

Windows

Image enhancement

Image information entropy

Image processing

Show All Keywords

Keywords/Phrases

Search In:

Publication Years