Detection Character Regions and Comparison Features in Event flyer Images based on Machine Learning.
Ken OrimotoTomoko TateyamaMasashi HondaTakumi MiyamotoShimpei MatsumotoPublished in: IIAI-AAI (2020)
Keyphrases
- image features
- automatically segmented
- salient features
- machine learning
- texture and shape features
- input image
- image regions
- significant features
- keypoints
- grey levels
- histogram analysis
- feature detectors
- geometrical features
- image pixels
- region of interest
- image data
- primitive features
- global structure
- test images
- detection rate
- false positives
- intensity images
- image matching
- region detection
- image retrieval
- pixel intensities
- computer vision
- spatial relationships
- event detection
- scene images
- image classification
- feature set
- image database
- affine moment invariants
- sample images
- object detection
- image registration
- feature space
- scale invariant features
- sift descriptors
- complex background
- gabor filters
- color features
- low level
- extracted features
- segmented images
- image structure
- image content
- text localization and recognition
- object recognition
- detection method
- feature detection
- textural features
- geometric features
- color histogram
- gray level
- feature points
- intensity variations
- feature vectors
- printed characters
- license plate
- feature extraction
- image sequences