Please use this identifier to cite or link to this item:
|Title:||Innovative techniques for recognition of faces based on multiresolution analysis and morphological filtering||Authors:||Doulamis, Anastasios D.
Doulamis, Nikolaos D.
Kollias, Stefanos D.
|Keywords:||Face recognition;Frontal images||Category:||Computer and Information Sciences||Field:||Natural Sciences||Issue Date:||1996||Source:||Third International Workshop on Image and Signal Processing on the Theme of Advances in Computational Intelligence, 1996, Manchester, UK, 4–7 November||Abstract:||In this paper, we introduce two new methods for face recognition of frontal images. The methods combine the well known Karhunen-Loeve transform with morphological and subband analysis. The use of this kind of analysis contributes to better discrimination between different im ages. Morphological and subband approaches are compared while the former is a non linear method and the latter a linear one. The results, obtained using 100 test images, show that both approaches are quite efficient. However, the morp hological technique seems to lead to slightly better results (5% , 12% error respectively) while the subband technique has the advantage of decreasing the complexity of the task.||URI:||http://ktisis.cut.ac.cy/handle/10488/4052||Type:||Conference Papers|
|Appears in Collections:||Δημοσιεύσεις σε συνέδρια/Conference papers|
Show full item record
Page view(s) 572
checked on Aug 21, 2019
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.