Gender recognition using four statistical feature techniques: a comparative study of performance

Computer Science

• Gender Recognition 100%
• Statistical Feature 100%
• Performance Metric 50%
• Discrete Cosine Transform 50%
• Security Purpose 50%
• Biometric System 50%
• histogram of oriented gradient 50%
• Application 50%
• Accuracy 50%
• Processing Time 50%
• Principal Components 50%
• Component Analysis 50%
• Extracted Feature 50%

Engineering

• Comparative Study 100%
• Statistical Feature 100%
• Performance 100%
• Extracted Feature 16%
• Receiver Operating Characteristic 16%
• Local Region 16%
• State-of-the-Art Technique 16%
• Grayscale 16%
• Component Analysis 16%
• Characteristics 16%
• Transforms 16%
• Metrics 16%
• Images 16%
• Histogram 16%
• Application 16%
• Accuracy 16%
• Principal Components 16%
• Processing Time 16%