Classification of Gender and Face Based on Gradient Faces

Research output: A Conference proceeding or a Chapter in BookConference contributionpeer-review

5 Citations (Scopus)


This paper presents a new method for solving face gender identification and face classification problems. The proposed method uses gradient features for feature extraction and support vector machine for classification. Experiments for the proposed method have been conducted on two public data sets CalTech and AT&T. The results show that the proposed method could improve the classification rates
Original languageEnglish
Title of host publicationThe 3rd European Workshop on Visual Information Processing
EditorsAzeddine Beghdadi, Abdesselam Bouzerdoum, Giuseppe Boccignone, Mohamed-Chaker Larabi
Place of PublicationParis
PublisherIEEE, Institute of Electrical and Electronics Engineers
Number of pages4
ISBN (Print)9781457700729
Publication statusPublished - 2011
EventEuropean Workshop on Visual Information Processing - Paris, Paris, France
Duration: 4 Jul 20116 Jul 2011


ConferenceEuropean Workshop on Visual Information Processing

Fingerprint Dive into the research topics of 'Classification of Gender and Face Based on Gradient Faces'. Together they form a unique fingerprint.

Cite this