TY - GEN
T1 - The Biometrics System Based on Iris Image Processing
T2 - 2nd International Conference of Computer and Informatics Engineering, IC2IE 2019
AU - Khoirunnisaa, Alfi Zuhriya
AU - Hakim, Lutfi
AU - Wibawa, Adhi Dharma
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/9
Y1 - 2019/9
N2 - Recently, it reported that the cases of cybercrime had increased by about 13% in 2017, especially in data fraud crime, due to the poor security system. One of the solutions to this problem is by implementing a biometric system as a security platform. Biometric is a method of personal ID authentication by using human recognition using unique human biometric values such as fingerprint, voice, face, or iris. This review paper focused on the iris biometric system since Iris biometric widely used as a system for maintaining data security, such as ATM, cellular phone, etc. Moreover, the biometric has very high sensitivity and accuracy for recognition than the other. In this paper, we will review some experiments of iris recognition that was done by researchers. As a result, we will present some comparisons among several studies, including in feature extraction technique, performance, and time computation required on the matching process. From the paper review, we can analyze that a good result of iris recognition depends on the selection of the right features and the needed time computation. The use of Haar Wavelet (texture analysis) with three different iris databases showed the best performance, such as MMU (ACC=96.44%, time=0.34s), UTIRIS (ACC=96.21%, time-0.68s), and IITD (ACC=97.14%, time=0.64s).
AB - Recently, it reported that the cases of cybercrime had increased by about 13% in 2017, especially in data fraud crime, due to the poor security system. One of the solutions to this problem is by implementing a biometric system as a security platform. Biometric is a method of personal ID authentication by using human recognition using unique human biometric values such as fingerprint, voice, face, or iris. This review paper focused on the iris biometric system since Iris biometric widely used as a system for maintaining data security, such as ATM, cellular phone, etc. Moreover, the biometric has very high sensitivity and accuracy for recognition than the other. In this paper, we will review some experiments of iris recognition that was done by researchers. As a result, we will present some comparisons among several studies, including in feature extraction technique, performance, and time computation required on the matching process. From the paper review, we can analyze that a good result of iris recognition depends on the selection of the right features and the needed time computation. The use of Haar Wavelet (texture analysis) with three different iris databases showed the best performance, such as MMU (ACC=96.44%, time=0.34s), UTIRIS (ACC=96.21%, time-0.68s), and IITD (ACC=97.14%, time=0.64s).
KW - iris authentication
KW - iris biometric system
KW - iris feature extraction
KW - iris image processing
KW - iris recognition system
UR - http://www.scopus.com/inward/record.url?scp=85078358977&partnerID=8YFLogxK
U2 - 10.1109/IC2IE47452.2019.8940832
DO - 10.1109/IC2IE47452.2019.8940832
M3 - Conference contribution
AN - SCOPUS:85078358977
T3 - Proceedings - 2019 2nd International Conference of Computer and Informatics Engineering: Artificial Intelligence Roles in Industrial Revolution 4.0, IC2IE 2019
SP - 164
EP - 169
BT - Proceedings - 2019 2nd International Conference of Computer and Informatics Engineering
A2 - Hidayati, Anita
A2 - Oktaviana, Shinta
A2 - Ermis Ismail, Iklima
A2 - Zain, Ayu Rosyida
A2 - Nugrahani, Fitria
A2 - Kurniawati, Dewi
A2 - Permatasari Sari, Irma
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 10 September 2019 through 11 September 2019
ER -