The expertise to quickly and non-invasively determine a subject's emotional state can
contribute to a milestone in research on emotionally intelligent computing systems. The …

Regional and cultural diversities around the world have given birth to a large number of
writing systems and scripts, which consist of varying character sets. Develo** an optimal …

Hidden Markov models (HMM) have proved their success in several research areas,
especially in speech recognition field. However, the major drawback of HMM classifier, is its …

In this paper, we propose an efficient approach for data reduction in Arabic Online
Handwriting Recognition (AOHR), specifically designed for Mobile Devices (MDs) such as …

In this paper, we propose an ensemble method based on hidden Markov models (HMMs) for
speech recognition. Our objective is to reduce the impact of the initial setting of training …

• To provide a comprehensive detail about different components of the recognition systems
(input data, feature extraction, and recognition block), as well as comprehend the available …

In this paper, we propose a new solution for the problem of the unevenly distributing points
along the stroke curve, in online Arabic handwriting recognition, due to the variation in …

Arabic handwriting recognition is a dynamic and stimulating field of study within pattern
recognition. This system plays quite a significant part in today's global environment. It is a …