An expert system for analysis and recognition of general symbols is introduced. The system uses the structural pattern recognition technique for modeling symbols by a set of straight lines referred to as segments. The system rotates, scales and thins the symbol, then extracts the symbol strokes. Each stroke is transferred into segments (straight lines). The system is shown to be able to map sim...

speech emotion recognition (ser) is a new and challenging research area with a wide range of applications in man-machine interactions. the aim of a ser system is to recognize human emotion by analyzing the acoustics of speech sound. in this study, we propose spectral pattern features (sps) and harmonic energy features (hes) for emotion recognition. these features extracted from the spectrogram ...

With the development of artificial intelligence and machine vision, face recognition has become a hot topic of pattern recognition.This paper describes the review-based comparison and recognition of challenges using holistic and hybrid appearance based approaches and the recent techniques used for improving recognition accuracy. The accuracy or efficiency of the techniques depends on the situat...

Poston, W.L., et al., A qualitative analysis of the resistive grid kernel estimator, Pattern Recognition Letters 15 (1993) 219-225. The ability to estimate a probability density function from random data has applications in discriminant analysis and pattern recognition problems. A resistive grid kernel estimator (RGKE) is described which is suitable for hardware implementation. The one-dimensio...

Nowadays, face is a crucial field for many pattern recognition researchers. It is considered as a good way for biometric authentication in many surveillance systems. The most important issue in face recognition is the features extraction from the face's images of the person's images or videos. In this paper, a proposed method has been introduced to identify person images, which are ca...

It is often useful to have a machine that performs the pattern recognition. In particular, machines which can read face images are very cost, effectively. A machine that reads passenger passports can process more passports than a human being in the same time (Hsu,2002). This kind of application saves time and money, and eliminates the requirement that a human performs such as the repetitive tas...

The problem of isometry-invariant representation and comparison of surfaces is of cardinal importance in pattern recognition applications dealing with deformable objects. Particularly, in threedimensional face recognition treating facial expressions as isometries of the facial surface allows to perform robust recognition insensitive to expressions. Isometry-invariant representation of surfaces ...

In most situations, identifying humans using faces is an effortless task for humans. Is this true for computers? This very question defines the field of automatic face recognition [7], [31], [62], one of the most active research areas in computer vision, pattern recognition, and image understanding. Over the past decade, the problem of face recognition has attracted substantial attention from v...

This paper has presented an artificial olfactory system, based on the structure and mechanism of biological olfactory system. The main goal of our study was to expound the principle of olfaction system of human body. It has complex structure model and of which structure and mechanism still under exploration. We built the model of sensory system mechanism, depicted the olfactory mechanism of the...

The automatic recognition of human faces presents a significant challenge to the pattern recognition research community; human faces are very similar in structure with minor differences from person to person. They are actually within one class of “human face”. Furthermore, lighting condition changes, facial expressions, and pose variations further complicate the face recognition task as one of ...