TITLE:
Palmprint Image Acquisition and Analysis System Based on IoT Technology
AUTHORS:
Zhiheng Zhu, Xinwu Chen, Youchao Tu, Xiaoling Zhang
KEYWORDS:
Image, IoT, Palmprint Texture, Feature Extraction, Multi-Scale, System Design
JOURNAL NAME:
Open Access Library Journal,
Vol.7 No.11,
November
13,
2020
ABSTRACT: With the rapid development and advancement of society, information technology represented by biometric recognition has developed rapidly. Palmprint images have a larger area, more texture details, rich texture features and distinguishable information, and palmprint recognition is opposite to the palm. The pattern image acquisition equipment and resolution requirements are not high, which is suitable for palmprint image acquisition and analysis under the framework of the Internet of Things (IoT), and then realize the design of recognition technology and system based on palmprint texture characteristics. The palmprint texture feature extraction and analysis algorithm is deployed on the cloud server, and the analysis result is fed back to the on-site collection device to realize the collection and analysis of palmprint images.