Unimodal and multimodal biometric sensing systems: a review

MO Oloyede, GP Hancke - IEEE access, 2016 - ieeexplore.ieee.org
Biometric systems are used for the verification and identification of individuals using their
physiological or behavioral features. These features can be categorized into unimodal and …

Recent advances in offline signature identification

D Impedovo, G Pirlo, M Russo - 2014 14th International …, 2014 - ieeexplore.ieee.org
In recent years, biometric-based authentication systems have been widely used in many
applications which require reliable identification scheme. Among others, handwritten …

Quality assessment of lettuce using artificial neural network

IC Valenzuela, JCV Puno, AA Bandala… - 2017IEEE 9th …, 2017 - ieeexplore.ieee.org
The critical features in yield forecasts determination are crop health and seasonal progress.
These serve as an indicator for the success of farming. Visual inspection often produces a …

[HTML][HTML] Behavioral biometric data analysis for gender classification using feature fusion and machine learning

SS Gornale, S Kumar, A Patil… - Frontiers in Robotics and …, 2021 - frontiersin.org
Biometric security applications have been employed for providing a higher security in
several access control systems during the past few years. The handwritten signature is the …

Fusion of speech and handwritten signatures biometrics for person identification

AAM Abushariah, MAM Abushariah… - International Journal of …, 2023 - Springer
Automatic person identification (API) using human biometrics is essential and highly
demanded compared to traditional API methods, where a person is automatically identified …

A smart chair design for recognizing human-object interactions using pressure sensors

M Usman, Z Noor, I Farooq, A Arsalan… - 2020 IEEE 23rd …, 2020 - ieeexplore.ieee.org
An important part of identifying the rich variety of human behavior in the visual world is the
identification of human object interactions (HOIs). The complete behavior of a human can be …

Hand signature and handwriting recognition as identification of the writer using gray level cooccurrence matrix and bootstrap

L Hiryanto, AR Yohannis… - 2017 Intelligent Systems …, 2017 - ieeexplore.ieee.org
The pattern of signature and handwriting are unique, so they can be utilised as an
authentication system. This research proposed a method of signature and handwriting …

IDENTIFIKASI PENULIS MELALUI POLA TULISAN TANGAN MENGGUNAKAN ALGORITMA SUPPORT VECTOR MACHINE

T Handhayani - Jurnal Muara Sains, Teknologi, Kedokteran dan …, 2017 - journal.untar.ac.id
Tulisan tangan merupakan ciri biometrik karena setiap orang memiliki pola tulisan tangan
yang unik. Keunikan tersebut dapat dimanfaatkan sebagai identitasbiometrik. Pada …

[PDF][PDF] On the use of edge features and exponential decaying number of nodes in the hidden layers for handwritten signature recognition

TS Gunawan, M Kartiwi - Indonesian Journal of Electrical …, 2018 - academia.edu
Handwritten signatures are playing an important role in finance, banking and education and
more because it is considered the “seal of approval” and remains the most preferred means …

Development of offline handwritten signature authentication using artificial neural network

TS Gunawan, N Mahamud… - … Conference on Computing …, 2017 - ieeexplore.ieee.org
Handwritten signatures are playing an important role in finance, banking and education and
more because it is considered to be the “seal of approval” and remains the most preferred …