Non-Redundant Contour Directional Feature Vectors for Character Recognition

Extracting Feature Vectors for Character Recognition by Walsh Transformation

Directional Pattern Matching for Character Recognition Revisited

Directional features have been successfully used for the recognition of both machine-printed and handwritten Kanji characters for the last decade. This paper attempts to explain why the directional features are effective. First, the advances of directional features and related methods are briefly reviewed. Then the properties that the similarity measure should hold are discussed and simulation ...

Adaptive Contour Model Using Texture Feature Vectors

In this paper we consider both the problem of fitting and tracking an amorphous object in a plane. In evnluat,ing these problems, we propose a physically based approach using an active contour model. We define a texture feature vector and apply it to the active contour model. In addition, we make the model adaptive. A method for changing the topology which allows even automatic contour splittin...

An algorithm for constructing a multi-template dictionary for character recognition considering distribution of feature vectors

In this paper, a new algorithm to construct a multitemplate dictionary for character recognition is presented. It is a repetitive process of partitioning and estimating the distribution by observing both within-class distribution and between-class information. The effectiveness of the algorithm is shown by experimental results.

Rapid Feature Extraction for Optical Character Recognition

Feature extraction is one of the fundamental problems of character recognition. The performance of character recognition system is depends on proper feature extraction and correct classifier selection. In this article, a rapid feature extraction method is proposed and named as Celled Projection (CP) that compute the projection of each section formed through partitioning an image. The recognitio...