Click here to Skip to main content
15,893,668 members

Efficiency issues with regards to image processing and character recognition

Lady Malie asked:

Open original thread
binarization of an image is n^2.
blob detection is possibly n^2.
computation of image moments is also n^2.
feature extraction is also n^2.
clssification takes a long time given that our backpropagation
has 32-100-4 input, hidden and output units respectivelty.

is it even possible for us to solve a real-time character recognition
problem in less than 10 frames per second?
Tags: C#, Image Processing

Plain Text
ASM
ASP
ASP.NET
BASIC
BAT
C#
C++
COBOL
CoffeeScript
CSS
Dart
dbase
F#
FORTRAN
HTML
Java
Javascript
Kotlin
Lua
MIDL
MSIL
ObjectiveC
Pascal
PERL
PHP
PowerShell
Python
Razor
Ruby
Scala
Shell
SLN
SQL
Swift
T4
Terminal
TypeScript
VB
VBScript
XML
YAML

Preview



When answering a question please:
  1. Read the question carefully.
  2. Understand that English isn't everyone's first language so be lenient of bad spelling and grammar.
  3. If a question is poorly phrased then either ask for clarification, ignore it, or edit the question and fix the problem. Insults are not welcome.
  4. Don't tell someone to read the manual. Chances are they have and don't get it. Provide an answer or move on to the next question.
Let's work to help developers, not make them feel stupid.
Please note that all posts will be submitted under the http://www.codeproject.com/info/cpol10.aspx.



CodeProject, 20 Bay Street, 11th Floor Toronto, Ontario, Canada M5J 2N8 +1 (416) 849-8900