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Sub-Image Homomorphic Filtering Technique for Improving Facial Identification under Difficult Illumination Conditions (CROSBI ID 518916)

Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija

Delač, Krešimir ; Grgić, Mislav ; Kos, Tomislav Sub-Image Homomorphic Filtering Technique for Improving Facial Identification under Difficult Illumination Conditions // Proceedings of the 13th International Conference on Systems, Signals and Image Processing, IWSSIP 2006 / Enyedi, Balazs ; Reichardt, Andras (ur.). Košice: Harlequin, 2006. str. 95-98-x

Podaci o odgovornosti

Delač, Krešimir ; Grgić, Mislav ; Kos, Tomislav

engleski

Sub-Image Homomorphic Filtering Technique for Improving Facial Identification under Difficult Illumination Conditions

In this paper we will propose a simple modification of standard homomorphic filtering technique and thus significantly improve face recognition performance on images with difficult illumination conditions. We will also give a detailed theoretical description of a homomorphic filter and compare our proposed method to common illumination compensation techniques used in face recognition literature. The comparisons will be performed on standard grayscale FERET database and this will, in addition, be the first evaluation of homomorphic filter on this database. Results will show that our method yields significantly better identification results than standard illumination compensation methods currently used in face recognition.

Outdoor Face Recognition; Homomorphic Filtering; Illumination Compensation

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Podaci o prilogu

95-98-x.

2006.

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objavljeno

Podaci o matičnoj publikaciji

Proceedings of the 13th International Conference on Systems, Signals and Image Processing, IWSSIP 2006

Enyedi, Balazs ; Reichardt, Andras

Košice: Harlequin

Podaci o skupu

13th International Conference on Systems, Signals and Image Processing, IWSSIP 2006

predavanje

21.09.2006-23.09.2006

Budimpešta, Mađarska

Povezanost rada

Elektrotehnika