Beschreibung
The main objective of my study is to develop an automated system that could imitate human visual behavior and distinguish between non-words against pseudo-words and real-words for the scripts Kanji and German. The proposed system include development of main components as data development in appropriate form after preliminary preprocessing, feature extraction using Gabor filters, Principal Component Analysis (PCA), Neural Network (NN) training, simulation and analysis of results.
Autorenporträt
Dr. Anuj Sharma is PhD in computer science in the field of Pattern Recognition and Machine Learning. He has done Post Doc from RWTH Aachen Germany. He is faculty in Panjab University, Chandigarh, India.
Herstellerkennzeichnung:
OmniScriptum SRL
Str. Armeneasca 28/1, office 1
2012 Chisinau
MD
E-Mail: info@omniscriptum.com
