Rotation-Invariant Neural Pattern Recognition System Using Extracted Descriptive Symmetrical Patterns
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2012, Vol 3, Issue 5
Abstract
In this paper a novel rotation-invariant neural-based pattern recognition system is proposed. The system incorporates a new image preprocessing technique to extract rotation-invariant descriptive patterns from the shapes. The proposed system applies a three phase algorithm on the shape image to extract the rotation-invariant pattern. First, the orientation angle of the shape is calculated using a newly developed shape orientation technique. The technique is effective, computationally inexpensive and can be applied to shapes with several non-equally separated axes of symmetry. A simple method to calculate the average angle of the shape’s axes of symmetry is defined. In this technique, only the first moment of inertia is considered to reduce the computational cost. In the second phase, the image is rotated using a simple rotation technique to adapt its orientation angle to any specific reference angle. Finally in the third phase, the image preprocessor creates a symmetrical pattern about the axis with the calculated orientation angle and the perpendicular axis on it. Performing this operation in both the neural network training and application phases, ensures that the test rotated patterns will enter the network in the same position as in the training. Three different approaches were used to create the symmetrical patterns from the shapes. Experimental results indicate that the proposed approach is very effective and provide a recognition rate up to 99.5%.
Authors and Affiliations
YRehab F. Abdel-Kader, Rabab M. Ramadan, Fayez W. Zaki, Emad El-Sayed1
Keywords
Related Articles
- EP ID EP145658
- DOI -
- Views 97
- Downloads 0
A Survey on Smartphone-Based Accident Reporting and Guidance Systems
Every day, around the world, a large percentage of people die from road accidents and falls. One of the reasons for a person's death during accidents is the unavailability of first aid, due to the delay in informing abou...
Role Term-Based Semantic Similarity Technique for Idea Plagiarism Detection
Most of the text mining systems are based on statistical analysis of term frequency. The statistical analysis of term (phrase or word) frequency captures the importance of the term within a document, but the techniques t...
Hybrid Approaches to Image Coding: A Review
Now a days, the digital world is most focused on storage space and speed. With the growing demand for better bandwidth utilization, efficient image data compression techniques have emerged as an important factor for imag...
Reversible Anonymization of DICOM Images using Cryptography and Digital Watermarking
Digital Imaging and Communications in Medicine (DICOM) is a standard for handling, storing, printing, and transmitting information in medical images. The DICOM file contains the image data and a number of attribute...
Comparison of Intelligent Methods of SOC Estimation for Battery of Photovoltaic System
It is essential to estimate the state of charge (SOC) of lead-acid batteries to improve the stability and reliability of photovoltaic systems. In this paper, we propose SOC estimation methods for a lead-acid battery usin...