This paper presents a new approach for model-based object recognition with range images by combining morphological feature extraction and geometric hashing. In low-level processing, range images are segmented into 3D-connected surface patches. In middle-level processing, each connected component is processed by using morphological operations to extract the skeletons of high-variation regions. T...

The image of the license plate is located and segmented by some digital-image processing technologies such as gray-scale processing, gray-scale stretching and filtering, edge detection, morphological processing, Hough transformation etc. According to the characteristics of the license plate, binary matrix of character image sets the fuzzy matrix, and based on the principle of proximity computin...

There are many existing studies released in the field of Computer Vision, especially Automatic License Plate Recognition. However, most them focused on using one method at time, such as Thresholding algorithms, Edge Detections or Morphological transformations. This research paper proposes to automate plate recognition process, by combining four algorithms from three methods mentioned above: Ada...

In this paper, we present a methodology for automatic pattern recognition of binary images objects using morphological operators and genetic programming. The results are expressed in terms of the basic morphological operators and logical operators. Genetic Programming (GP) is based on concepts of genetics and Darwin’s principle of natural selection to genetically breed and evolve computer progr...

BACKGROUND Detection of characteristic waves, such as QRS complex, P wave and T wave, is one of the essential tasks in the cardiovascular arrhythmia recognition from Electrocardiogram (ECG). METHODS A multiscale morphological derivative (MMD) transform-based singularity detector, is developed for the detection of fiducial points in ECG signal, where these points are related to the characteris...

In this paper, a novel algorithm is proposed for fingertip detection and finger type recognition. The algorithm is applied for locating fingertips in hand region extracted by Bayesian rule based skin color segmentation. Morphological operations are performed in the segmented hand region by observing key geometric features. A probabilistic modeling of the geometric features of finger movement ha...

A complete face recognition system is proposed in this paper by introducing the concepts of foreground objects, which are currently used in the MPEG-4 standardization phase, to human identification. The system automatically detects and extracts the human face from the background, even if is not uniform, based on a combination of a retrainable neural network structure and the morphological size ...

The current article examines an approach for face recognition based on thermal imaging methods and Matlab image processing. Images of persons, captured with infrared camera, are submitted to filtration and morphological operations in order to extract parts of the face that could be used for its recognition. Then the images are processed in order to determine the specific contours of the face of...

Optical Character Recognition (OCR) is a very old and of great interest in pattern recognition field. In this paper we introduce a very powerful approach to recognize Persian text. We have used morphological operators, especially Hit/Miss operator to descript each sub-word and by using a template matching approach we have tried to classify generated description. We used just one font in two dif...

In this paper, a new method of reconstructing broken handwritten digits is developed. The conditional dilation algorithm is used to bridge small gaps. Spurious segments introduced during extraction of digit "elds are detected and deleted based on the morphological structural analyses of digit "elds. A set of structural points of digits are detected along the outer contours of digits. The presel...