Towards Biometric Person Identification using fNIRS
نویسندگان
چکیده
We investigate the potential of using fNIRS signals for biometric person identification. Independent sessions for training and testing have been recorded using 8 channels of frontal fNIRS. We extract logarithmic power spectral densities as features to train and test a Naı̈ve Bayes Classifier. We evaluate different frequency bands and report classification results for different trial lengths.
منابع مشابه
Person Identification Using Face and Iris Multimodal Biometric System
Multimodal biometric systems fuse information using more than one physical and/or behavioral characteristics of a person to improve the recognition accuracy for person identification and alleviate the single biometric trait limitations. Focus of this paper is on combining the strengths of face and iris modalities to obtain better recognition accuracy for person identification by using several f...
متن کاملBIOMETRIC IDENTIFICATION WITH COMBINED ALGORITHMS (SURF, HARRIS and MSER)
Biometric technologies are automated methods of verifying or recognizing. This work is particularly targeted towards the SURF,HARRIS and MSER calculations for biometric fingerprint calculations .These three features are used parallel to get the better identification results, FAR is proved 0 with the three algorithms and FRR is 1 with the same i.e. SURF, HARRIS and MSER and matching the maximum ...
متن کاملAn Approach for Human Identification by Ear Biometric System
Ear biometric for identification of human is quite complex task. It’s use either uni-modal or multi-modal approach in order to authenticate a person. A uni-modal biometric system involves a single source of biometric to identify a person. This paper is based on uni-modal approach with ear as a biometric trait for recognizing a person. In this paper, an experimental approach is used for identify...
متن کاملTowards an Intelligent Multimodal Biometric Identification System
— the goal of this project is to bring together and integrates the work of the laboratory team members in order to get a practical realization of an Intelligent Multimodal Biometric Identification System. This last exploits the vocal and visual properties of a person to carry out, her or his, identification. To improve classification performance, the system will have a virtual character module ...
متن کاملBiometric Person Identification System: A Multimodal Approach Employing Spectral Graph Characteristics of Hand Geometry and Palmprint
Biometric authentication systems operating in real world environments using a single modality are found to be insecure and unreliable due to numerous limitations. Multimodal biometric systems have better accuracy and reliability due to the use of multiple biometric traits to authenticate a claimed identity or perform identification. In this paper a novel method for person identification using m...
متن کامل