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Paradigms of Artificial Intelligence in Biometric Computing
Published in Karm Veer Arya, Robin Singh Bhadoria, The Biometric Computing, 2019
The signature recognition is a behavioral biometric, it helps in recognizing the kind of artistic handwriting which may be unreadable and may have special characters and attracts attention. The handwriting and signature recognition-based biometric system for verification works in two ways: (i) online signature recognition and verification systems (SRVS) and (ii) offline SRVS. In the offline SRVS, the signatures are handled as an image which are based on the image processing and through AI techniques they can be recognized. Whereas the online SRVS measures the hand speed and pressure on the human hand when it creates the signature for recognition.
Close link between Fabry–Pérot resonance and natural-resonance frequencies
Published in Waves in Random and Complex Media, 2023
Ugur Cem Hasar, Gokhan Ozturk, Yunus Kaya, Joaquim José Barroso, Omar M. Ramahi, Mehmet Ertugul
Radar target recognition is extremely essential to quickly and easily identify enemies in confrontational defense applications. Such a recognition can be realized via image processing and signature recognition. The former one implements the recognition by visualization of the target using focus spot scanning and inverse synthetic aperture such as radar cross section [1]. Its main drawback is that the extracted parameters usually vary with incident aspect angle, which is not known a priori in most radar target recognition problems. On the other hand, signature recognition extracts the unique features to the target for its classification. It could overcome the aspect-dependent limitation via resonance-based target recognition (singularity expansion method (SEM)). Such recognition essentially characterizes the radar target based on its natural-resonance frequencies, which are dependent on the physical attributes of the target (electromagnetic properties and physical geometry), independent of the incident aspect angle and polarization states. Additionally, the SEM is also applied for electromagnetic characterization of layered stratified structures [2–4]. All the methods relying on the SEM such as the matrix-pencil(MP) method [3], the Prony's method [4], the E-pulse method [5], and the graphical method [6, 7] extract the features of a given target or obtain response of a stratified structure in the late-time period which is the period when the target produces resonant modes at distinct frequencies (the excitation is no longer present).