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This lecture was delivered by Dr. Ramya Riya at Ankit Institute of Technology and Science. This lecture is part of lecture series on Machine Learning and Artificial Intelligence course. It includes: Photo, OCR, Problem, Description, Pipeline, Text, Detection, Character, Segmentation, Classification, Image, Sliding, Windows, Supervised, Learning
Typology: Slides
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Machine Learning
The Photo OCR problem
Image Text detec8on Character segmenta8on Character recogni8on Photo OCR pipeline
Machine Learning
Posi've examples Supervised learning for pedestrian detec8on pixels in 82x36 image patches Nega've examples
Sliding window detec8on
Sliding window detec8on
Sliding window detec8on
Text detec8on Posi've examples Nega've examples
Text detec8on [David Wu]
Photo OCR pipeline
GeIng lots of data: Ar'ficial data synthesis Machine Learning
Ar8ficial data synthesis for photo OCR Real data
[Adam Coates and Tao Wang]
Ar8ficial data synthesis for photo OCR Real data Synthe'c data [Adam Coates and Tao Wang]