Photo OCR, Application Example-Machine Learning and Artificial Intelligence-Lecture Slides, Slides of Machine Learning

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

2011/2012

Uploaded on 08/26/2012

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Applica'on*example:**
Photo*OCR*
Problem*descrip'on*
and*pipeline*
Machine*Learning*
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Applica'on example:

Photo OCR

Problem descrip'on

and pipeline

Machine Learning

The Photo OCR problem

Image Text detec8on Character segmenta8on Character recogni8on Photo OCR pipeline

Applica'on example:

Photo OCR

Sliding windows

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

  1. Text detec'on
  2. Character segmenta'on
  3. Character classifica'on A N T

Applica'on example:

Photo OCR

GeIng lots of data: Ar'ficial data synthesis Machine Learning

Ar8ficial data synthesis for photo OCR Real data

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[Adam Coates and Tao Wang]

Ar8ficial data synthesis for photo OCR Real data Synthe'c data [Adam Coates and Tao Wang]