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Hybrid Artificial Intelligent System For Human Gender Classification | ||
| IRAQI JOURNAL OF STATISTICAL SCIENCES | ||
| Article 23, Volume 10, Issue 1, 2010, Pages 155-168 PDF (0 K) | ||
| DOI: 10.33899/iqjoss.2010.030501 | ||
| Authors | ||
| Laheeb M. Al-Zoubaidy; Susan H. Mohammad | ||
| Abstract | ||
| This paper introduces an automatic human gender classification (male or female ) depending on ultrasound images using artificial neural network to classify the gender . This system consists of three units : preprocessing the ultrasound images of human gender (noise removed , normalization and segmentation ), Feature extraction and gender classification. After preprocessing the ultrasound images then extracting the features by Kernel principal component analysis (kernel PCA) after that, linear neural network used to a classify training and testing these gender images . The system produces promising results for gender classification . | ||
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