Grouping, Segmentation and Recognition of Handwritten Social Security Images.
Christopher JonesVitaliy KubushynJohn BunchDean CurtisEvangelos A. YfantisPublished in: IPCV (2007)
Keyphrases
- numeral strings
- segmentation algorithm
- feature extraction and matching
- segmentation method
- object recognition
- image recognition
- image analysis
- test images
- segmentation errors
- character segmentation
- input image
- character recognition
- image features
- image data
- segmented images
- image regions
- texture and shape features
- gray scale images
- handwritten characters
- adaptive thresholding
- segmentation accuracy
- text lines
- grey level
- accurate segmentation
- image segmentation
- pixel level
- object segmentation
- image matching
- ground truth
- edge detection
- image segmentation algorithms
- microscopy images
- handwritten documents
- recognition rate
- image registration
- image segments
- multiple objects
- feature extraction
- pixel wise
- bounding box
- recognition algorithm
- scanned images
- figure ground segmentation
- multiscale
- hand written
- object detection
- face recognition
- region segmentation
- fully automatic
- region growing
- license plate
- partial occlusion
- medical images
- document image analysis
- handwriting recognition
- traffic signs
- document analysis
- foreground and background
- level set
- perceptual grouping