PSO Optimization of MLP Face Detection System with Min-Max Features

Name: PSO Optimization of MLP Face Detection System with Min-Max Features
Brand: VDM Verlag
SKU: 9783639262568
Price: 28133 HUF
Availability: InStock

Szerző: Ihsan Yassin, Mohd. N. Taib

Nyelv:

Kötés: Puha kötésű

Kiadó: VDM Verlag

Elérhetőség: Kiadói készleten rendelésre

Küldés 17-27 napon belül

28 133 Ft

Face detection has wide applications in biometrics verification and interactive devices that employ...

Információk a könyvről

Szerző

Ihsan Yassin, Mohd. N. Taib

Nyelv

Angol

Kötés

Könyv - Puha kötésű

Kiadva

2010

oldal

288

EAN

9783639262568

ISBN

3639262565

Enbook ID

06833598

Kiadó

VDM Verlag

Súly

426

Méretek

152 x 229 x 17

Teljes leírás

Face detection has wide applications in biometrics verification and interactive devices that employ human-computer interfaces. The face detection method presented in this book creates a robust yet compact classifier that can be rapidly retrained due to its structure. A new set of features called New Min-Max Analysis (NMMX) that derive horizontal and vertical projections from segmented grayscale image regions. and extracts vertical and horizontal projections from them. Then, a modification of a swarm-based optimization algorithm called Modified Particle Swarm Optimization 1 (MPSO1) was used to select the three most discriminative features from NMMX. To maximize the classification accuracy of the MPSO1-optimized MLP, another modified version of PSO called Modified Particle Swarm Optimization II (MPSO2) was used to optimize the structure of the MLP classifier. The final model achieved significant structural reduction compared to the benchmark system, while managing to significantly improve classification rates. The MLP was also tested on a set of real-life images that represent the face detection realistic scenario with detection rates of 88.17%.

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PSO Optimization of MLP Face Detection System with Min-Max Features

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