Sentence examples for fingerprint extraction from inspiring English sources

The fingerprint extraction comprises two different steps: Feature extraction.

An audio fingerprint structure comprises of the components for fingerprint extraction and fingerprint identification.

Section 5 describes the processes of spectrogram image construction and robust audio fingerprint extraction.

Fingerprint extraction entails the determination of robust features of the audio signal and then building a fingerprint representation based on those robust features [12].

The fingerprint extraction method of the Shazam method entails the use of the raw spectrogram data to compute the audio fingerprints.

Furthermore, Haitsma and Kalker [13] introduced and described a very robust fingerprint extraction method and a highly efficient searching strategy which was suitable for a large audio fingerprint database with limited computational resources (Philip's Robust Hashing Algorithm).

This would be due to the peaks being acquired using the spectrogram data in the audio fingerprinting extraction process.

In this work, a complete procedure for RF fingerprint data extraction and analysis is provided.

This chapter provides an overview of fingerprint-based identification and summarizes algorithms for fingerprint feature extraction, enhancement, matching, and classification.

By resorting to device fingerprints extracted from images, source-oriented image clustering can be divided into two main sequential operations: the extraction of device fingerprint from images followed by an image clustering operation based on the device fingerprints.

The complete operation, that is, fingerprint capture, feature extraction, and matching, can be done in real-time of less than 4 seconds.