Plant species recognition from visual data has always been a challenging task for Artificial Intelligence (AI) researchers, due to number of complications in the task, such as enormous be processed vast floral species. There are many sources plant that can used feature aspects an AI-based model, but features related parts like leaves considered more significant primarily easy accessibility, tha...

bstract. We propose the use of the morphological pattern specrum, or pecstrum, as the base of a biometric shape-based hand ecognition system. The system receives an image of the right hand f a subject in an unconstrained pose, which is captured with a ommercial flatbed scanner. According to pecstrum property of inariance to translation and rotation, the system does not require the se of pegs fo...

We study the use of mathematical morphology for handprinted character recognition. Our approach uses the morphological skeleton transform as the shape descriptor. An efficient skeletonmatching algorithm, which renders the similarity between two skeletons as a distance measure, is employed. Based on this distance measure, a character is classified by a minimum distance classifier. The morphologi...

Speaker recognition suffers severe performance degradation under noisy environments. To solve this problem, we propose a novel method based on morphological component analysis. This method employs a universal background dictionary (UBD) to model common variability of all speakers, a speech dictionary of each speaker to model special variability of this speaker and a noise dictionary to model va...