Compartir
Titre
Study of the Pre-processing Impact in a Facial Recognition System
Autor(es)
Sujet
Computer Science
Fecha de publicación
2013/09
Éditeur
Springer Science + Business Media
Citación
Hybrid Artificial Intelligent Systems Lecture Notes in Computer Science. 8th International Conference, HAIS 2013, Salamanca, Spain, September 11-13, 2013. Proceedings. Lecture Notes in Computer Science. Volumen 8073, pp. 334-344.
Resumen
The present work is a study of the influence of the preprocessing stage on the classification performance of a face recognition analysis. To carry out this task have made tests in a full FRS, evaluating each of its four stages and including several advanced alternatives in preprocessing, such as illumination normalization through the Discrete Cosine Transformation or alignment by Enhanced Correlation Coefficient, among others. The main goal of this work is determining how those different preprocessing alternatives interact with each other and in wich degree they affect the overall Facial Recognition Systems (FRS). The tests make a special emphasis in using images that could have been obtained from a real environment, rather than at a lab environment, with the difficulties that this brings for facial recognicion techniques.
URI
ISBN
978-3-642-40845-8 (Print) / 978-3-642-40846-5 (Online)
ISSN
0302-9743 (Print) / 1611-3349 (Online)
Aparece en las colecciones
- BISITE. Congresos [232]
Fichier(s) constituant ce document
Tamaño:
375.0Ko
Formato:
Adobe PDF