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The main concern associated with biometric structures which are stored in a database is the security of the template storage system. A new technique which assembles the encryption key and biometric sample using a cryptographic means is the fuzzy vault. Most of the existing algorithms needs query fingerprint image used during vault decoding to be aligned with the enrolment fingerprint image used in...
Mobile augmented reality (MAR) systems utilize local features to represent structures such as corners or blobs in query videos and database images. Local features are compressed and sent to servers to perform query-database matching. The compression efficiency is important for the server-based MAR systems in terms of network latency. Conventional compression methods handle video frames independently...
This paper presents an analysis of the parameters used to construct 2D log-Gabor filters to encode iris patterns. This filter is a band-pass complex filter composed by four parameters that are used to extract information direct in the 2D domain. An iris recognition system, composed by segmentation, normalization, encoding and matching is also described. The segmentation module combines the Pulling...
Today, when comparing classical fingerprint matching and more constrained algorithms, like after binary quantization for biometric privacy protection purpose, there is an important gap in terms of performances. Performances of the latter solutions still need to be improved to decrease this gap. The main difficulty comes from the fact that fingerprint captures of the same trait give very different...
Classifier fusion is considered as one of the best strategies for improving performance of general purpose classification systems. On the other hand, fusion strategy space strongly depends on classifiers, features and data spaces. As the cardinality of this space is exponential, one needs to resort to a heuristic to find a sub-optimal fusion strategy. In this work, we present a new adaptive feature...
In this paper we propose an image-based biological classification system that can identify different creatures via their sounds. The overall system involves the relative spectral transform-perceptual linear prediction for spectrogram image extraction, cosine similarity measure for feature matching, dynamic Hilbert curve for spectrogram routing, and Gaussian mixture model for 1-D spectrogram classification...
Because of its robustness, user friendliness, low cost and high accuracy, palmprint recognition has been widely studied in the past ten years. Various feature extraction and matching schemes have been proposed, among which the Gabor phase and orientation codes are very effective and efficient for palmprint representation and matching. Although these methods are adopted in the online palmprint recognition...
This paper presents a new method to select a segment-to-segment matching by analysing signature verification, accordingly curve segments used in signature verification and the regional feature contained in the curve segment are picked-up and the regional features are selected by ant colony optimization (ACO) algorithm and genetic algorithms(GAs). Namely, features selected are first encoded into chromosome,...
Developing accurate and robust palmprint verification algorithms is one of the key issues in automatic palmprint recognition systems. Recently, orientation based coding algorithms, such as Competitive Code (CompCode) and Orthogonal Line Ordinal Features (OLOF), have been proposed and have been attracting much research attention. Such algorithms could achieve high accuracy with high feature matching...
For mobile image matching applications, a mobile device captures a query image, extracts descriptive features, and transmits these features wirelessly to a server. The server recognizes the query image by comparing the extracted features to its database and returns information associated with the recognition result. For slow links, query feature compression is crucial for low-latency retrieval. Previous...
Coding-based method, which encodes the responses of a bank of filters into bitwise features, has been very successful in palmprint representation and matching. Palmprints, however, are typically multiscale features, where the palm lines can be represented at a higher scale while the wrinkles at a lower scale. In this work, we present a mutliscale competitive code method for efficient palmprint representation...
Palmprint recognition, as one of the most promising biometrics, has received considerable recent biometric research interest. Among various palmprint recognition techniques, coding based methods have been very successful since of its simplicity, high precision, small size of feature and rapidness for both feature extraction and matching. Several filters, such as Gabor and Gaussian, and coding schemes,...
The paper presents an original, independent of typical cryptographic techniques, method of biometric replay attack prevention for iris biometrics. The proposed solution takes advantage of appropriate enhancements of iris templates and relies on appropriate data alteration within the image space resulting in significant changes of the resulting code in the iris feature space. Proposed methodology may...
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