Conic section function neural network circuitry for offline signature recognition

B Erkmen, N Kahraman, RA Vural… - IEEE transactions on …, 2010 - ieeexplore.ieee.org
In this brief, conic section function neural network (CSFNN) circuitry was designed for offline
signature recognition. CSFNN is a unified framework for multilayer perceptron (MLP) and …

Dynamic signature recognition based on fisher discriminant

T Schmidt, V Riffo, D Mery - … , CIARP 2011, Pucón, Chile, November 15-18 …, 2011 - Springer
Biometric technologies are the primary tools for certifying identity of individuals. But cost of
sensing hardware plus degree of physical invasion required to obtain reasonable success …

Deep Learning Based Dynamic Signature Analysis for Multiclass Classification

A Kazi, V Bharadi, K Prasad - 2023 6th International …, 2023 - ieeexplore.ieee.org
In the current era of digital authentication, the demand for robust identity verification methods
is ever increasing. This paper explores advanced techniques for multiclass signature …

FPGA implementation of Differential Evaluation Algorithm for MLP training

AR Yilmaz, B Erkmen, O Yavuz - 2014 IEEE International …, 2014 - ieeexplore.ieee.org
In this work, Differential Evolution Algorithm (DEA) is implemented on an embedded systems
based on FPGA for the training of multi-layer perceptron (MLP). The classification …

The performance of differential evolution algorithm for training CSFNN using a pattern recognition application

AR Yilmaz, B Erkmen, O Yavuz - 2013 Fourth International …, 2013 - ieeexplore.ieee.org
In this work, Conic Section Function Neural Network (CSFNN) has been trained by
differential evolution algorithm (DEA) to overcome local minimum problems. The …

Accelerating handwritten signature recognition using intelligent algorithm based embedded system

AR Yılmaz, B Erkmen, O Yavuz - Sigma Journal of Engineering and …, 2016 - dergipark.org.tr
In this work, intelligent algorithms designed on embedded hardware for signature
recognition is presented. Feed forward Conic Section Function Neural Network (CSFNN) …

[PDF][PDF] Reconocimiento y Clasificación Dinámica de Firmas con Algoritmos de Visión

TS Flores, VR Bouffanais, DM Quiroz, BP Márquez - researchgate.net
Este documento presenta un enfoque novedoso al reconocimiento de firmas, proponiendo
el uso de algoritmos de reconocimiento de caras para obtener descriptores por clase y un …

[PDF][PDF] Propuesta Novedosa de Reconocimiento Dinámico de Firmas

VR Bouffanais, TS Flores, DM Quiroz - researchgate.net
Este documento presenta un enfoque novedoso al reconocimiento de firmas, proponiendo
el uso de algoritmos de reconocimiento de caras para obtener descriptores por clase y un …

[引用][C] FPGA üzerinde diferansiyel gelişim algoritması ile yapay sinir ağı eğitimi

AR Yılmaz - Yüksek Lisan Tezi, YT Ü., İstanbul, 2014 - platform.almanhal.com
منصة المنهل لقد انتهت الجلسة. يرجى العمل على إعادة تحديث الصفحة إعادة تحديث يرجى الانتظار...
يتم تحضير الملف الاستخدام المجاني إذا كنت ترغب في الوصول الكامل إلى هذا المحتوى وقاعدة …