Automatic recognition of handwritten Hindi characters is a difficult and one of the most interesting research areas of pattern recognition field. A lot of work has been done in this area till date; still it is a subject of active research. Hindi characters are cursive in nature and thus characters may be written in various cursive ways. Characters also show a lot of similar features such as hea...

In this paper, we suggest a viewpoint-invariant face recognition model based on view-based representation. The suggested model has four stages: view-based representation, viewpoint classification, frontal face estimation and face recognition. For view-based representation, we obtained the feature space by using independent subspace analysis, the bases of which are grouped like the neurons in th...

many researchers adopt local binary pattern for pattern analysis. however, the long histogram created by local binary pattern is not suitable for large-scale facial database. this paper presents a simple facial pattern descriptor for facial expression recognition. local pattern is computed based on local gradient flow from one side to another side through the center pixel in a 3x3 pixels region...

The most common way of human-to-human communication is speech. As speech provides the easiest and most natural way of interaction, it becomes the need of human-to-machine communication as well. Automatic speech recognition (ASR) is the technology to enable machines to understand process and recognize speech. Due to its applicability in various application domains, ASR becomes one of the most fa...

A system using feature optimization and neural learning techniques is presented for detection of upright frontal faces. The design of the system takes advantages of the existing techniques and avoid their shortcomings. Statistical pattern recognition (PR) techniques are used to optimize the feature selection. A neural network (NN) method is used to learn a complex mapping function for the class...

Many existing researches utilized many different approaches for recognition in digital mammography using various ANN classifier-modeling techniques. Different types of feature extraction techniques are also used. It has been observed that, beyond a certain point, the inclusion of additional features leads to a worse rather than better performance. Moreover, the choice of features to represent t...

Abstract—In many pattern recognition problems, research has shown that significant improvement in the overall performance may be achieved through a combination of multiple classifiers, rather than a further development of a single classifier [1]. As a process, among others, to reduce the amount of information to be treated by the classifier, one can represent a character image thanks to a seque...

The past decades have seen the great progress pattern recognition and image understanding, motivated by a wide range of real world applications. The previous approaches mostly based on the feature extraction and recognition methods, and usually suffer from the problem of weak discrimination power. In this paper, we propose a complex model based on particle swarm and neural network pattern recog...