Feature Level Fusion Based Bimodal Biometric Using Transformation Domine Techniques
نویسندگان
چکیده
منابع مشابه
Feature Level Fusion Based Bimodal Biometric Using Transformation Domine Techniques
Bimodal biometric used to authenticate a person is more accurate compared to single biometric trait. In this paper we propose Feature Level Fusion based Bimodal Biometric using Transformation Domine Techniques (FLFBBT). The algorithm uses two physiological traits viz., Fingerprint and Face to identify a person. The Region of Interest (ROI) of fingerprint is obtained using preprocessing. The fea...
متن کاملFeature Level Fusion in Biometric Systems
Multimodal biometric systems utilize the evidence presented by multiple biometric sources (e.g., face and fingerprint, multiple fingers of a user, multiple impressions of a single finger, etc.) in order to determine or verify the identity of an individual. Information from multiple sources can be consolidated in three distinct levels [1]: (i) feature extraction level; (ii) match score level; an...
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 کاملK-means Based Multimodal Biometric Authentication Using Fingerprint and Finger Knuckle Print with Feature Level Fusion
In general, identification and verification are done by passwords, pin number, etc., which are easily cracked by others. To overcome this issue, biometrics has been introduced as a unique tool to authenticate an individual person. Biometric is a quantity which consists of individual physical characteristics that provide more authentication and security than the password, pin number, etc. Nevert...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IOSR Journal of Computer Engineering
سال: 2012
ISSN: 2278-8727,2278-0661
DOI: 10.9790/0661-0333946