We instrument a system for recognizing handwritten mathematical expressions using the Recognition Strategy Library, a data provenance tool for pattern recognition research, in order to study the behavior of the recognition system and demonstrate the utility of the library. In this case study, the library was used to perform comparison tests to quantitatively analyze several modifications to the...

Over the last years, fractal and multifractal geometries were applied extensively in many medical signal (1D, 2D or 3D) analysis applications like pattern recognition, texture analysis and segmentation. Application of this geometry relies heavily on the estimation of the fractal features. Various methods were proposed to estimate the fractal dimension or multifractal spectral of a signal. This ...

Powdery mildew disease of beans in India causes major economic losses in agriculture. For sustainable agriculture, detection and identification of diseases in plants is very important. In this review, we are trying to identify the powdery mildew disease of beans crop by using some image processing and pattern recognition techniques and comparing with molecular and spectroscopic techniques. Earl...

This paper investigates the possibility of accurately detecting and tracking human gaze by using an unconstrained and noninvasive approach based on the head pose information extracted by an RGB-D device. The main advantages of the proposed solution are that it can operate in a totally unconstrained environment, it does not require any initial calibration and it can work in real-time. These feat...

Difficult pattern recognition problems involving large class sets and noisy input can be solved by a multiple classifier system, which allows simultaneous use of arbitrary feature descriptors and classification procedures. Independent decisions by each classifier can be combined by methods of the highest rank, Borda count, and logistic regression, resulting in substantial improvement in overall...

Data fusion is a long term of research in image processing that is becoming more and more relevant owing to the complementary developments of computer and sensory technologies. Although operator research related to soft-computing, specially in the eld of fuzzy systems, has evolved considerably during this last two decades, implemented frameworks of data fusion for image processing take seldom i...

In GIS and in terrain analysis, drainage systems are important components. Due to local topography and subsurface geology, a drainage system achieves a particular drainage pattern based on the form and texture of its network of stream channels and tributaries. Drainage pattern recognition helps to provide a qualitative description of the terrain for analysis and classification and is useful for...

The main aim of this paper is to demonstrate the performance of a possibility based classifier which implements dynamic pattern recognition. The objectives of the paper are: 1) to detail the working of a Massively Parallel Fuzzy System (MPFS) which can be used to classify two spiral data; 2) to develop and detail the dynamic pattern recognition approach; and 3) to discuss the results obtained. ...

The information era has witnessed an explosion in the collection of data that contain potentially useful information for a wide range of applications such as biology, sociology, pattern recognition, marketing and finance. As a result of this inflation, statisticians have developed a new set of tools that combine fundamental statistical concepts with profoundly new ideas. This set of problems an...