Published in

SERSC, International Journal of Security and Its Applications, 6(8), p. 137-146, 2014

DOI: 10.14257/ijsia.2014.8.6.13

Links

Tools

Export citation

Search in Google Scholar

The Design of Fingerprint Identification System based on Improved Binarization Algorithm

Journal article published in 2014 by Z. Heng Jun, Heng-Jun Zhu, Ying Guo, Nan Zhang, G. Ying, Z. Nan Nan, L. Hong, Hong Liang
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

Full text: Download

Question mark in circle
Preprint: policy unknown
Question mark in circle
Postprint: policy unknown
Question mark in circle
Published version: policy unknown
Data provided by SHERPA/RoMEO

Abstract

Many domestic enterprises use punch machine for attendance management of coal mine workers, which leads to have some underground hidden danger and have difficulties to confirm the accident personnel and rescue them afterwards. This paper describes the design of a fingerprint recognition system for coal mine workers identity recognition, which can guarantee the safe production. This design which is based on minutiae fingerprint algorithm has been improved, using DSP technology to design a fingerprint identification module. The system uses TMS320VC5509 made by TI Corporation as the core processor, which can easily carry out fingerprint acquisition, segmentation and matching. The result of debugging shows that this system can operate stably and reliably, improving the accuracy and efficiency of the security check.