Automatic Plant Leaf Classification for a Mobile Field Guide
|Name||Automatic Plant Leaf Classification for a Mobile Field Guide|
In this paper we describe the development of an Android application that gives users the ability to identify plant species based on photographs of the plant’s leaves taken with a mobile phone. At the heart of this application is an algorithm that acquires morphological features of the leaves, computes welldocumented metrics such as the angle code histogram (ACH), then classifies the species based on a novel combination of the computed metrics. The algorithm is first trained against several samples of known plant species and then used to classify unknown query species. Aided by features designed into the application such as touchscreen image rotation and contour preview, the algorithm is very successful in properly classifying species contained in the training library.
|ieee paper year||2013|