The research paper includes development of Application GUI for the ANN Hand Geometry based Recognition System
with initial stages of Image Acquisition, Image Pre-processing and Feature Extraction and ANN Recognition using MATLAB.
The application is to be tested on database for accuracy and performance and analytical comparisons are to be made on basis of
testing. The research presents a method based on moment invariant method and Artificial Neural Network (ANN) which uses a
four-step process: separates the hand image from its background, normalizes and digitizes the image, applies statistical features
like Length and Width of the Fingers, Diameter of the Palm Perimeter Measurements, maxima and mini points and finally
implements recognition and was successful in the verification as ANN was trained for seven neural net layers with 150000
iterations each. Neural network with MLP is highly efficient.
