Showing papers in "Pattern Recognition in 1988"

TL;DR: A method of classifying single view deaf-and-mute sign language motion images by extracting 2-D features of the location of a hand and its movement from the red component of the input color image sequence.

TL;DR: A system for recognizing totally unconstrained handwritten numerals is described, which comprises a feature extractor and two classification algorithms that identify the majority of the samples and a robust relaxation algorithm which classifies the rest of the data.

TL;DR: A method of finding the papilla by Hough transform, and from there tracing blood vessels by a second-order derivative Gaussian filter, designed to detect the first signs of adult diseases.

TL;DR: This system basically includes a segmentation stage in order to recognize typewritten Arabic cursive words and has shown a recognition rate of 99%.

TL;DR: An extensive review of mapping techniques for exploratory pattern analysis is presented, including the least squares mapping, and a method that accelerates and increases the precision of mappings based on the Fisher discriminant is introduced.

TL;DR: A handprinted symbol recognition system for identifying through computer techniques free-form, unconstrained handprinting in which accuracy is decoupled from efficiency converts a thin-line (skeletonized) figure output from a preprocessing system into segment-oriented lists.

TL;DR: A generalised technique for selecting thresholds of edge strength maps from theoretical considerations of the known noise statistics of the image is derived and has been extended for use with combinations of edge operators.

TL;DR: A new adaptive approach to invariant pattern recognition is introduced which overcomes lack of uniqueness or computational complexity and is based upon the intrinsic invariance properties of the pattern and the recognition criterion.

TL;DR: An algorithm which can automatically construct 3D solid objects from 2D orthographic views is proposed, which may be polyhedra, cylinders, partial cylinders and their composites.

TL;DR: The separable suboptimal strategy is proposed and compared with the optimal one in respect of classification accuracy and the primary results are illustrated by simple examples.

TL;DR: The utility of the new relaxation matching method based on features in the recognition of hand-printed Chinese characters is demonstrated, especially powerful in distinguishing similarly-shaped characters within a cluster produced by preclassification.

TL;DR: A model is proposed for the description/recognition of handwritten numerals to yield a high-accuracy algorithm that emulates a multi-layered approach to processing of visual information by the human brain.

TL;DR: A new approach to texture discrimination based on an algorithm which automatically selects the texture features best suited to a particular classification problem is presented.

TL;DR: An experiment in which knowledge of music, a highly structured domain is applied to extract primitive musical features from handwritten scores shows that if the domain of image processing is well defined, significant improvements in low-level segmentations can be achieved.

TL;DR: To derive efficient numerical tests for local extrema of the FCM functional that enable one to identify each candidate as a local minimum or saddle point, the theory derived covers all possible cases.

TL;DR: This method represents a character by contours expressed by well-approximating functions and stable breakpoints which characterize the connection of the strokes so that it provides proper features for handwritten Japanese character recognition with relaxation matching.

TL;DR: A two pass contextual processing algorithm limited to the word level using a partial dictionary with an augmented dictionary approach, modified Viterbi algorithm and some heuristics based on pragmatic features is presented.

TL;DR: In this paper, a fast and reliable image enhancement technique based on the fuzzy relaxation algorithm is proposed, where different orders of fuzzy membership functions and different rank statistics are used to improve the enhancement speed and quality, respectively.

TL;DR: With this scheme of two-dimensional (2-D) spline interpolation for image reconstruction, compression rate of greater than 12 is achieved for X-ray left ventricular cineangiogram image data compression.

TL;DR: An efficient algorithm for matching 3-D points of multiple rigid objects is presented that can be easily extended to incorporate other geometrical or non-geometrical object attributes to further prune the matching.

TL;DR: A contour-based stereo matching algorithm is presented using the disparity continuity property along image contours to first match specific high-information points along a contour, then use the matches found to guide other matches on the same contour by sequentially propagating the disparities along the length of the contour.

TL;DR: A method of determining a representation of ordered partitions,i.e. a partition to which the sum of distance from fixed partitions is minimal is presented, and two metrics are proposed as measures of distance between ordered partitions.

TL;DR: The notions introduced in the paper are useful for researches in less restricted edNLC-graph Grammars, for example grammars analogical to context-free string grammARS.

TL;DR: A method for detecting and delineating compact objects in images is presented, based on a computational structure called an intensity pyramid that takes O (log n ) time for an n by n image.

TL;DR: Close planar shapes are modelled by an ordered sequence that represents the Euclidean distance between the centroid and all contour pixels of the shape by developing a dynamic alignment process to find the best correspondence between the sequences.

TL;DR: Two computer-based experiments evaluating the effectiveness of several mapping techniques for exploratory pattern analysis selected three best mapping methods, which allowed them to identify the sets of parameters most often used by the participants and suggest guidelines for the best use of mapping techniques.

TL;DR: The proposed constructive method for the inference of Even Linear Grammars from positive samples is employed and it is shown that the method can be used in a hierarchical manner to infer grammars for more complex pictures.

TL;DR: Preliminary results are presented that show the performance of this postprocessing method on printed text.

TL;DR: This method has been implemented on an IBM-PC compatible machine vision system keeping in mind its office related applicability and experimental results for a test map have been presented.

TL;DR: A new technique for three-dimensional (3-D) polyhedral object recognition on the basis of a single two-dimensional view of a 3-D scene is proposed by means of a new attributed subgraph isomorphism algorithm.