Artificial neural network-based lot number recognition for cadastral map

Lecture Notes in Electrical Engineering

Volumn 156 LNEE, Issue VOL. 1, 2013, Pages 401-406

  Marcial, Dave E ^a   Dy, Ed Darcy ^a   Maceren, Silvin Federic ^a   Sarno, Erivn Rygl ^a  

^a SILLIMAN UNIVERSITY   (Philippines)

Author keywords

[No Author keywords available]

Indexed keywords

BACK PROPAGATION ARTIFICIAL NEURAL NETWORK (BPANN); BINARIZATIONS; CADASTRAL MAPS; CONNECTED COMPONENT LABELING; DETECTION RATES; FEED-FORWARD; IMAGE PROCESSING TECHNIQUE; IMAGE RESIZING; LEARNING ACTIVITY; NETWORK-BASED; NUMBER RECOGNITION; TEST SCENARIO;

IMAGE PROCESSING; INTERNET; PIXELS;

NEURAL NETWORKS;

EID: 84865650220     PISSN: 18761100     EISSN: 18761119     Source Type: Book Series    
DOI: 10.1007/978-3-642-28807-4_56     Document Type: Conference Paper

References (4)

1. Fyfe, C.: Artificial neural networks and information theory, 1.2 edn. The University of Praisley (2000)
2. Bãlan, I.: Using Mathematical Morphology to Detect the Imperfections of the Printed Circuit Boards. Journal of Applied Computer Science 1(2) (2008)
3. Tech-Algorithm.com. Nearest Neighbor Image Scaling (2007), http://tech-algorithm.com/articles/nearest-neighbor-image-scaling/
4. Gołda, A.: Principles of training multi-layer neural network using backpropagation (2005), http://galaxy.agh.edu.pl/~vlsi/AI/backp-t-en/backprop. html (Last modified: September 6, 2004)