자율 신경망을 이용한 임베디드 지문 인식 시스템 구현에 관한 연구

Abstract

At the present time security problem is more impotance not only Korea but also the whole of the world. Each and every person who has importance information was plagiarized and destroyed by other person due to spread internet and bring up serious security problem.

Recently need of biometrics in order to restrict contact concerning secrets and individual data is very importance.

This paper embodies the real time embedded fingerprint recognition system having high recognition rate in field of biometrics.

Frist of all, this system applies matching algorithm of fingerprint using adaptive resonance theory 2 in autonomic nervous system. This system is received image of fingerprint from sensor and it has preprocessing and postprocessing and it calculates feature value then it using adaptive resonance theory 2 can classify and recognize each image of fingerprint.

Next this system embodies real time embedded fingerprint recognition system not using personal computer.

The processor of this system's main module used digital signal processor chip being widely used signal processing and it used semiconductor sensor for receiving input of fingerprint.

In this paper for testing simple display and communication experiment designed control board using programmable interrupt controller and control board tested simple recognition test.

Designed control board has many possible applications but in this paper, its purpose is reference design kit for using hardware and software development.