The motivation behind our work is to present a new methodology for symbol recognition. The proposed method employs a structural approach for representing visual associations in symbols and a statistical classifier for recognition. We vectorize a graphic symbol, encode its topological and geometrical information by an attributed relational graph and compute a signature from this structural graph...

This paper explores a framework to incorporate articulatory movement information into a classical ASR scheme based on the concept of articulatory stroke. Articulatory stroke is a geometrical segmental unit which corresponds to a target approaching-releasing articulatory gesture. It has been shown that critical and non-critical (i.e., secondary or dummy) articulatory gestures can be classified w...

Recent developments in man–machine interaction have motivated researchers to recognize human emotion from speech signals. In this study, we propose using nonlinear dynamics features (NLDs) for emotion recognition. NLDs are extracted from the geometrical properties of the reconstructed phase space of speech signals. The traditional prosodic and spectral features are also used as a benchmark. The...

In this paper, a robust and fast approach to lip detecting and lip-reading is presented. The approach combines the information of lip color with the geometrical features of lips in human face. This technique makes it possible to derive lip regions in real time under regular illumination conditions. The experimental results with more than 2000 images have shown that the approach to locating lips...

Local descriptors are increasingly used for the task of object recognition because of their perceived robustness with respect to occlusions and to global geometrical deformations. Such a descriptor--based on a set of oriented Gaussian derivative filters-is used in our recognition system. We report here an evaluation of several techniques for orientation estimation to achieve rotation invariance...

facial expressions are the most powerful and direct means of presenting human emotions and feelings and offer a window into a persons’ state of mind. in recent years, the study of facial expression and recognition has gained prominence; as industry and services are keen on expanding on the potential advantages of facial recognition technology. as machine vision and artificial intelligence advan...

In face recognition literature, major approaches based on holistic templates and geometrical local features have been taken. Both approaches have certain advantages and disadvantages. In this paper, we explore a new method which integrates the above two approaches. Among many speciic systems, we select LDA (Linear Discriminant Analysis) and MPF (Matching Pursuit Filter) as the representative fr...

Rapid advancement of technology in artificial intelligence and computer science knowledge and then feel the need to search and secure automated systems are because of the appearance of intelligent systems based on image processing and spread this knowledge. One of these intelligent systems is license plate recognition (LPR) system. LPR plays an important role in intelligent transportation syste...