The FERET Evaluation Methodology for Face-Recognition Algorithms
IEEE Transactions on Pattern Analysis and Machine Intelligence
Learning Gender with Support Faces
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns
IEEE Transactions on Pattern Analysis and Machine Intelligence
Gender and Ethnic Classification of Face Images
FG '98 Proceedings of the 3rd. International Conference on Face & Gesture Recognition
Robust Real-Time Face Detection
International Journal of Computer Vision
Histograms of Oriented Gradients for Human Detection
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Boosting Sex Identification Performance
International Journal of Computer Vision
Evaluation of Gender Classification Methods with Automatically Detected and Aligned Faces
IEEE Transactions on Pattern Analysis and Machine Intelligence
An experimental comparison of gender classification methods
Pattern Recognition Letters
Assessment of time dependency in face recognition: an initial study
AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication
Handwritten digits recognition improved by multiresolution classifier fusion
IbPRIA'11 Proceedings of the 5th Iberian conference on Pattern recognition and image analysis
A new soft biometric approach for keystroke dynamics based on gender recognition
International Journal of Information Technology and Management
Recognizing human gender in computer vision: a survey
PRICAI'12 Proceedings of the 12th Pacific Rim international conference on Trends in Artificial Intelligence
Improving gender recognition using genetic algorithms
SEAL'12 Proceedings of the 9th international conference on Simulated Evolution and Learning
Gender Recognition Based On Combining Facial and Hair Features
Proceedings of International Conference on Advances in Mobile Computing & Multimedia
Gender Recognition Based On Combining Facial and Hair Features
Proceedings of International Conference on Advances in Mobile Computing & Multimedia
Three robust features extraction approaches for facial gender classification
The Visual Computer: International Journal of Computer Graphics
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Gender recognition from face images has many applications and is thus an important research topic. This paper presents an approach to gender recognition based on shape, texture and plain intensity features gathered at different scales. We also propose a new dataset for gender evaluation based on images from the UND database. This allows for precise comparison of different algorithms over the same data. The experiments showed that information from different scales, even if just from a single feature, is more important than having information from different features at a single scale. The presented approach is quite competitive with above 90% accuracy in both evaluated datasets.