Open AccessEigen Values Matrix for Recognition English Letters
Author(s) -
Israa Mohammed Hassoon
Publication year - 2016
Publication title -
oriental journal of computer science and technology
Language(s) - English
Resource type - Journals
eISSN - 2320-8481
pISSN - 0974-6471
DOI - 10.13005/ojcst/901.01
Subject(s) - computer science , reading (process) , eigenvalues and eigenvectors , matrix (chemical analysis) , artificial intelligence , natural language processing , process (computing) , pattern recognition (psychology) , speech recognition , linguistics , programming language , philosophy , physics , materials science , quantum mechanics , composite material
Reading skills or recognizability of letters and shapes are one of the human potential. The main objective in the design of any recognition system is to reduce the amount of data and get the perfect ratio of recognition. In this work ,eigen values matrix is used to recognize English letters .The process of recognize English letters (small letters , capital letters) in different sizes and different fonts that captured from scanner has been done by extracting topological features that study of qualitative properties of letters , then topological features used to build eigenvalues matrix.