Face recognition based on normalization and the phase spectrum of the local part of an image

Jesus Olivares-Mercado; Kazuhiro Hotta; Haruhisa Takahashi; Hector Perez-Meana; Mariko Nakano Miyatake; Gabriel Sanchez-Perez

doi:10.1007/978-3-540-89646-3_27

Face recognition based on normalization and the phase spectrum of the local part of an image

Jesus Olivares-Mercado, Kazuhiro Hotta, Haruhisa Takahashi, Hector Perez-Meana, Mariko Nakano Miyatake, Gabriel Sanchez-Perez

Escuela Superior de Ingeniería Mecánica y Eléctrica (ESIME), Unidad Culhuacán

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This paper proposes a robust faces recognition method based on the Normalization and the Phase Spectrum of the Local Part of an Image. The Principal Components Analysis (PCA) and the Support Vector Machine (SVM) are used in the classification stage. We evaluate how the proposed method is robust to illumination, occlusion and expressions using ''AR Face Database'', which includes the face images of 109 subjects (60 males and 49 females) under illumination changes, expression changes and partial occlusion. The proposed method provides results with a correct recognition rate more than 96.7%.

Original language	English
Title of host publication	Advances in Visual Computing - 4th International Symposium, ISVC 2008, Proceedings
Pages	278-286
Number of pages	9
Edition	PART 2
DOIs	https://doi.org/10.1007/978-3-540-89646-3_27
State	Published - 2008
Event	4th International Symposium on Visual Computing, ISVC 2008 - Las Vegas, NV, United States Duration: 1 Dec 2008 → 3 Dec 2008

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 2
Volume	5359 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	4th International Symposium on Visual Computing, ISVC 2008
Country/Territory	United States
City	Las Vegas, NV
Period	1/12/08 → 3/12/08

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10.1007/978-3-540-89646-3_27

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Olivares-Mercado, J., Hotta, K., Takahashi, H., Perez-Meana, H., Miyatake, M. N., & Sanchez-Perez, G. (2008). Face recognition based on normalization and the phase spectrum of the local part of an image. In Advances in Visual Computing - 4th International Symposium, ISVC 2008, Proceedings (PART 2 ed., pp. 278-286). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5359 LNCS, No. PART 2). https://doi.org/10.1007/978-3-540-89646-3_27

Olivares-Mercado, Jesus ; Hotta, Kazuhiro ; Takahashi, Haruhisa et al. / Face recognition based on normalization and the phase spectrum of the local part of an image. Advances in Visual Computing - 4th International Symposium, ISVC 2008, Proceedings. PART 2. ed. 2008. pp. 278-286 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).

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title = "Face recognition based on normalization and the phase spectrum of the local part of an image",

abstract = "This paper proposes a robust faces recognition method based on the Normalization and the Phase Spectrum of the Local Part of an Image. The Principal Components Analysis (PCA) and the Support Vector Machine (SVM) are used in the classification stage. We evaluate how the proposed method is robust to illumination, occlusion and expressions using ''AR Face Database'', which includes the face images of 109 subjects (60 males and 49 females) under illumination changes, expression changes and partial occlusion. The proposed method provides results with a correct recognition rate more than 96.7%.",

author = "Jesus Olivares-Mercado and Kazuhiro Hotta and Haruhisa Takahashi and Hector Perez-Meana and Miyatake, {Mariko Nakano} and Gabriel Sanchez-Perez",

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Olivares-Mercado, J, Hotta, K, Takahashi, H, Perez-Meana, H , Miyatake, MN & Sanchez-Perez, G 2008, Face recognition based on normalization and the phase spectrum of the local part of an image. in Advances in Visual Computing - 4th International Symposium, ISVC 2008, Proceedings. PART 2 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 2, vol. 5359 LNCS, pp. 278-286, 4th International Symposium on Visual Computing, ISVC 2008, Las Vegas, NV, United States, 1/12/08. https://doi.org/10.1007/978-3-540-89646-3_27

Face recognition based on normalization and the phase spectrum of the local part of an image. / Olivares-Mercado, Jesus; Hotta, Kazuhiro; Takahashi, Haruhisa et al.
Advances in Visual Computing - 4th International Symposium, ISVC 2008, Proceedings. PART 2. ed. 2008. p. 278-286 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5359 LNCS, No. PART 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Miyatake, Mariko Nakano

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N2 - This paper proposes a robust faces recognition method based on the Normalization and the Phase Spectrum of the Local Part of an Image. The Principal Components Analysis (PCA) and the Support Vector Machine (SVM) are used in the classification stage. We evaluate how the proposed method is robust to illumination, occlusion and expressions using ''AR Face Database'', which includes the face images of 109 subjects (60 males and 49 females) under illumination changes, expression changes and partial occlusion. The proposed method provides results with a correct recognition rate more than 96.7%.

AB - This paper proposes a robust faces recognition method based on the Normalization and the Phase Spectrum of the Local Part of an Image. The Principal Components Analysis (PCA) and the Support Vector Machine (SVM) are used in the classification stage. We evaluate how the proposed method is robust to illumination, occlusion and expressions using ''AR Face Database'', which includes the face images of 109 subjects (60 males and 49 females) under illumination changes, expression changes and partial occlusion. The proposed method provides results with a correct recognition rate more than 96.7%.

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Olivares-Mercado J, Hotta K, Takahashi H, Perez-Meana H , Miyatake MN , Sanchez-Perez G. Face recognition based on normalization and the phase spectrum of the local part of an image. In Advances in Visual Computing - 4th International Symposium, ISVC 2008, Proceedings. PART 2 ed. 2008. p. 278-286. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2). doi: 10.1007/978-3-540-89646-3_27

Face recognition based on normalization and the phase spectrum of the local part of an image

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