Document recognition is required to convert handwritten and text documents into digital equivalents, making them more easily accessible and convenient to store. This study combined feature extraction techniques for recognizing Yorùbá documents in an effort to preserve the cultura...
Open access
Research Article10.9734/ajrcos/2023/v15i4329
This paper presents a recognition system for Yorùbá handwritten words using Hidden Markov Model(HMM).The work is divided into four stages, namely data acquisition, preprocessing, feature extraction and classification. Data were collected from adult indigenous writers and the scan...
Open access
Research Article10.9734/BJMCS/2016/27567
Aims: This work aim is to develop an enhanced predictive system for Coronary Heart Disease (CHD). Study Design: Synthetic Minority Oversampling Technique and Random Forest. Methodology: The Framingham heart disease dataset was used, which was collected from a study in Framingham,...
Open access
Research Article10.9734/ajrcos/2021/v11i130253