A Case Study on Multi-instance Finger Knuckle Print Score and Decision Level Fusions
نویسندگان
چکیده
Abstract—This paper proposed the use of multi-instance as a means to improve the performance of Finger Knuckle Print (FKP) verification. A log-This paper proposed the use of multi-instance as a means to improve the performance of Finger Knuckle Print (FKP) verification. A logGabor filter has been used to extract the image local orientation information, and represent the FKP features. Experiments are performed using the DZhang FKP database, which consists of 7,920 images. The influence on biometric performance using Decision and Score Level Fusions has been demonstrated in this paper. Results indicate that the Multi-instance verification approach at Score Level (Max Rule) and Decision Level (OR Rule) outperforms higher performance than using any single instance. Whereas at Score Level (Min Rule) and Decision Level (AND Rule) does not have performance improvement.
منابع مشابه
Finger Knuckle-print Identification Based on Local and Global Feature Extraction Using Sdost
Finger knuckle-print biometric system has widely used in modern e-world. The region of interest is needed as the key for the feature extraction in a good biometric system. The symmetric discrete orthonormal stockwell transform provides the computational efficiency and multi-scale information of wavelet transforms, while providing texture features in terms of Fourier frequencies. It outperforms ...
متن کاملMultibiometric: Feature Level Fusion Using FKP Multi-Instance biometric
This paper proposed the use of multi-instance feature level fusion as a means to improve the performance of Finger Knuckle Print (FKP) verification. A log-Gabor filter has been used to extract the image local orientation information, and represent the FKP features. Experiments are performed using the FKP database, which consists of 7,920 images. Results indicate that the multi-instance verifica...
متن کاملFinger Multi-biometric Cryptosystem using Feature-Level Fusion
In this paper, we propose a new finger multi-biometric cryptosystem using feature-level fusion to simultaneously protect multiple templates of fingerprint, finger vein, finger knuckle print and finger shape traits as a single secure sketch. We theoretically analyze the featurelevel fusion for finger multi-biometric cryptosystem with respect to their impact on security and recognition accuracy. ...
متن کاملStudy of Different Techniques for Human Identification Using Finger Knuckle
There are different biometric modalities used to identify person which includes palmprint, face, fingerprint, iris and hand geometry. Apart from these biometric modalities, finger knuckle print also used as one of the cost effective biometric identifier. Finger knuckle print is defined by the back side of fingers. On the back side of fingers there are three joints named as Metacarpophalangeal (...
متن کاملANN Classifier for Finger Knuckle Print Recognition using Gabor Feature
This paper proposes an enhanced method for personal authentication based on finger Knuckle Print using Gabor transform. In study shows that finger knuckle print (FKP) technique of a person can be used as a biometric trait in a biometric authentication system due to its uniqueness property. Hand-based person recognition provides a reliable, in low-cost and user-friendly viable solution for a ran...
متن کامل