Plant’s Leaf Analysis Using Pattern Recognition Algorithm

Abstract

Plant species identification is an important area of research which is required in number of regions. Design and development of an automatic leaf based plant species identification system is a challenging task. The initial step of any coordinating/acknowledgment framework is to identify intrigue areas in the pictures and portray them. The proposed system is based on pre-processing, feature extraction and their weighted normalization and finally classification. In this paper, pattern recognition/retrieval techniques are studied by extraction of novel features in all three domains and their performance has been evaluated based on Entropy, Peak-Signal-to-Noise-Ratio (PSNR), Standard Deviation (SD), Euler Number and Gradient Magnitude Similarity Deviation. This paper presents scientific ideas for distinguishing and depicting image features.