Deep learning in diverse intelligent sensor based systems
Deep learning has become a predominant method for solving data analysis problems in
virtually all fields of science and engineering. The increasing complexity and the large …
virtually all fields of science and engineering. The increasing complexity and the large …
[PDF][PDF] A Review of Fingerprint Feature Representations and Their Applications for Latent Fingerprint Identification: Trends and Evaluation.
Latent fingerprint identification is attracting increasing interest because of its important role
in law enforcement. Although the use of various fingerprint features might be required for …
in law enforcement. Although the use of various fingerprint features might be required for …
Biometrics recognition using deep learning: A survey
In the past few years, deep learning-based models have been very successful in achieving
state-of-the-art results in many tasks in computer vision, speech recognition, and natural …
state-of-the-art results in many tasks in computer vision, speech recognition, and natural …
Learning a fixed-length fingerprint representation
We present DeepPrint, a deep network, which learns to extract fixed-length fingerprint
representations of only 200 bytes. DeepPrint incorporates fingerprint domain knowledge …
representations of only 200 bytes. DeepPrint incorporates fingerprint domain knowledge …
A survey on 2D and 3D contactless fingerprint biometrics: A taxonomy, review, and future directions
Contactless fingerprint biometrics has achieved rapid development in the past decades
thanks to its inherent advantages, such as no physical contact between a finger and a …
thanks to its inherent advantages, such as no physical contact between a finger and a …
Contactless fingerprint recognition based on global minutia topology and loose genetic algorithm
Contactless fingerprint recognition is highly promising and an essential component in the
automatic fingerprint identification system. However, due to the inherent characteristic of …
automatic fingerprint identification system. However, due to the inherent characteristic of …
Roadmap on signal processing for next generation measurement systems
Signal processing is a fundamental component of almost any sensor-enabled system, with a
wide range of applications across different scientific disciplines. Time series data, images …
wide range of applications across different scientific disciplines. Time series data, images …
Latent fingerprint enhancement and segmentation technique based on hybrid edge adaptive dtv model
Image enhancement and segmentation is widely used for fingerprint identification and
authorization in biometrics devices, criminal scene is most challenges due to low quality of …
authorization in biometrics devices, criminal scene is most challenges due to low quality of …
Adaptive latent fingerprint image segmentation and matching using Chan-Vese technique based on EDTV model
Biometrics such as face, fingerprint, iris, voice and palm prints are the most widely used, and
as well the fingerprints are one of the most frequently used biometrics to identify individuals …
as well the fingerprints are one of the most frequently used biometrics to identify individuals …
[HTML][HTML] Interpol review of fingermarks and other body impressions 2016–2019
This review paper covers the forensic-relevant literature in fingerprint and bodily impression
sciences from 2016 to 2019 as a part of the 19th Interpol International Forensic Science …
sciences from 2016 to 2019 as a part of the 19th Interpol International Forensic Science …