Our group studies the biometrics authentication by using physiological and behavioral biometrics. It is necessary to recognize phenomenon and object in the real time from Friendly Informative Cyber Space(FICS) in order to specify the individual. Hence, the comparison and analysis must be carried out to extract information as features. The goal is to realize effective time-varying image processing and comparison processing for features in order to recognize the individual person.
Keywards:
Biometrics Authentication, Physiological Biometrics, Behavioral
Biometrics, Face authentication, Palmprint Certification, Ear image
recognition, False Rejection Rate(FRR), False Acceptance Rate(FAR),
Equal Error Rate(EER), Receiver Operating Characteristic(ROC) curve,
Noncontacting security key, Recognition of hand shape, Fingertip
signature, Fingertip handwriting in the air, Intelligent Door Knob
System
Core Techniques:
RBF network, DP matching, Pattern matching, SIFT, SURF, Particle filter
Research movies:here
Examples:
Development of
the aerial PIN code input system by the specific finger
Source: Ryosuke TANAKA, Shinya FUKUMOTO, Masayuki KASHIMA, Kiminori
SATO and Mutsumi WATANABE,
"Development of the aerial PIN code input system by the specific
finger",
The IEICE Trans. on Fundamentals of Electronics, Communications and
Computer Sciences A, Vol.J100-A,No.10, pp.384-392(2017.10)
Individual
Authentication System Based on The Palm Pattern of The Hand Image
Source: Hikaru INOUE, Shinya FUKUMOTO, Masayuki KASHIMA, Kiminori SATO
and Mutsumi WATANABE,
"Study on Individual Authentication System Based on The Palm Pattern of
The Hand Image",
The IEICE Trans. on Fundamentals of Electronics, Communications and
Computer Sciences A, Vol.J100-A,No.12, pp.425-434(2017.12)
Flexible Aerial
Signature Individual Authentication System using the Finger
Discrimination Information
Source: Issei HATANAKA, Masayuki KASHIMA, Kiminori SATO and Mutsumi
WATANABE,
"Study on Flexible Aerial Signature Individual Authentication System
using the Finger Discrimination Information",
The journal of the Institute of Image Information and Television
Engineers,Vol.70, No.6,pp.J125-J132,(2016.5)
Lip-sync Personal
Authentication System Based on the Movement Feature of Lip
Source: Tatsuya NAKATA, Masayuki KASHIMA, Kiminori SATO and Mutsumi
WATANABE,
"Lip-sync Personal Authentication System Based on the Movement Feature
of Lip",
The Institute of Image Electronics Engineers of Japan, Vol.44,
No.3,pp.521-532,(2015.7)
Ear Image Recognition
Source: Kiminori Sato, Nan He and Yukitoshi Takahashi,
"Human Face Extraction and Recognition Using Radial Basis Function
Networks",
IEICE Trans. INF.&SYST., Vol.E86-D, No.5, pp.956-963, (2003.5)
The Noncontacting Security Key Entry
System Using the Shape of the Hand
Source: Kiminori Sato, Takahiro Oono, Masayuki Kashima, Mutsumi
Watanabe,
"The Development of the Noncontacting Security Key Entry System Using
the Shape of the Hand",
The journal of the Institute of Image Electronics Engineers of Japan,
Vol.38, No.5, pp.686-693, (2009.9)
Intelligent Door Knob System Equipped
with Palmprint Certification
Source: Kiminori Sato, Kousei Shinohara, Masayuki Kashima, Mutsumi
Watanabe,
"The Development of Intelligent Door Knob System Equipped with
Palmprint Certification",
The journal of the Institute of Image Electronics Engineers of Japan,
Vol.40, No.5, pp.778-784, (2011.9)
Individual recognition by a fingertip
handwriting in the air
Source: Naoto Hatanaka, Masayuki Kashima, Kiminori Sato, Mutsumi
Watanabe,
"A study on individual recognition by a fingertip handwriting in the
air",
The First Symposium on Biometrics, Recognition and
Authentication(SBRA2011), A2-3, pp.9-11 (2011.11)
Multimodal Verification System by
Hand-Shape and Fingertip Signature
Source: Kiminori Sato, Akihiro Nakashima, Masayuki Kashima, Mutsumi
Watanabe,
"Multimodal Verification System by Hand-Shape and Fingertip Signature",
The journal of the Institute of Image Electronics Engineers of Japan,
Vol.41, No.4, pp.371-376, (2012.8)