𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Authentication of Individuals using Hand Geometry Biometrics: A Neural Network Approach

✍ Scribed by Marcos Faundez-Zanuy; David A. Elizondo; Miguel-Ángel Ferrer-Ballester; Carlos M. Travieso-González

Publisher
Springer US
Year
2007
Tongue
English
Weight
465 KB
Volume
26
Category
Article
ISSN
1370-4621

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Disassembly sequence generation using a
Disassembly sequence generation using a neural network approach
✍ Hsin-Hao (Tom) Huang; Michael H. Wang; Michael R. Johnson 📂 Article 📅 2000 🏛 Society of Manufacturing Engineers 🌐 English ⚖ 878 KB

The problem of disassembly sequence generation is complex and has proven to be difficult to solve. Various methods have been used in attempting to solve the problem, including mathematical modeling and search techniques. This paper first presents the economic analysis method of the disassembly proce

Noise modeling of heterojunction bipolar
Noise modeling of heterojunction bipolar transistors using neural network approach
✍ V. Marković; S. Prasad; A. Stoǐć 📂 Article 📅 2007 🏛 John Wiley and Sons 🌐 English ⚖ 141 KB

## Abstract The advantages of heterojunction bipolar transistors (HBTs) make them very promising for modern RF communication systems and therefore their noise performance becomes an important issue as well. A procedure for HBT noise modeling based on the neural network approach is presented in this

Prediction of surface roughness profiles
Prediction of surface roughness profiles for milled surfaces using an artificial neural network and fractal geometry approach
✍ I.A. El-Sonbaty; U.A. Khashaba; A.I. Selmy; A.I. Ali 📂 Article 📅 2008 🏛 Elsevier Science 🌐 English ⚖ 355 KB

Artificial neural networks (ANNs) models were developed for the analysis and prediction of the relationship between the cutting conditions and the corresponding fractal parameters of machined surfaces in face milling operation. These models can help manufacturers to determine the appropriate cutting

Modelling of hot strip rolling process u
Modelling of hot strip rolling process using a hybrid neural network approach
✍ H.J. Kim; M. Mahfouf; Y.Y. Yang 📂 Article 📅 2008 🏛 Elsevier Science 🌐 English ⚖ 931 KB

A neural network-based approach is developed to predict a mechanical property for the hot-rolled alloy strip. Using a data set containing critical information on the mechanical property which was obtained from a POSCO hot strip mill, a neural network-based model is elicited. A compact set of process