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Internet is popular for people at all ages. A computer is used to access the Internet but a user needs to authenticate himself to the system in order to gain access. The problem of a typical authentication technique is to memorize a password. Lots of junior high school students in Pakthongchaiprachaniramit School cannot remember their own password and this work is proposed to solve the problem by...
Currently, all kinds of Location-based Services (LBS) are gradually demanding more location information of mobile users. The WiFi-based indoor positioning technologies have been investigated intensely. However, both positioning accuracy and stability are often degraded by RSS detection variance between different devices. To solve the two problems, this paper proposes a compensation strategy for RSS...
Nowadays, when someone wants to make a payment with a smartcard, the user has to enter a pin code to be identified. Only biometrics is able to authenticate a user; yet biometric information is sensitive. To ensure the security and privacy of biometric data, OCC (On-Card-Comparison) has been proposed. This approach consists in storing biometric data in a secure zone on a smartcard and computing the...
This article proposes a new quality assessment method of fingerprint, represented by only a set of minutiae points. The proposed quality metric is modeled with the convex-hull and Delaunay triangulation of the minutiae points. The validity of this quality metric is verified on several Fingerprint Verification Competition (FVC) databases by referring to an image-based metric from the state of the art...
Inferring relevance between microarray experiments stored in a gene expression repository is a helpful practice for biological data mining and information retrieval studies. In this study, we propose a knowledge-based approach for representing microarray experiment content to be used in such studies. The representation scheme is specifically designed for inferring a disease-associated relevance of...
Performance evaluation of fingerprinting using simplified statistical matching algorithm with two similarity metrics is presented. The collection of RF information can be automatically accomplished with the minimization of drive testing (MDT) in long term evolution (LTE) networks. In the case of non-ideal cell detection, the proposed algorithm greatly decreases the calculation of RF information and...
Biometric template protection schemes in particular, biometric cryptosystems bind secret keys to biometric data, i.e. complex key retrieval processes are performed at each authentication attempt. Focusing on biometric identification exhaustive 1: N comparisons are required for identifying a biometric probe. As a consequence comparison time frequently dominates the overall computational workload, preventing...
This paper proposes a machine learning method based on Real Adaboost that jointly optimizes the content ID codes and the decoding metric. Significant performance gains over prior art are demonstrated for audio fingerprinting.
In this paper, we present a novel video fingerprinting algorithm which leverages the concept of perceptual similarity between different video sequences. Inspired by the popular structural similarity (SSIM) index, we quantify the perceptual similarity between different video sequences by proposing a perceptual distance metric (PDM) which is utilized in the matching stage of our proposed video fingerprinting...
Multi-modal biometric fusion is more accurate and reliable compared to recognition using a single biometric modality. However, most existing fusion approaches neglect the influence of the qualities of the biometric samples in information fusion. Our goal is to advance the state-of-the-art in biometric fusion technology by providing a more universal and more accurate solution for personal identification...
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