Abstract—Contour representations of binary images of handwritten words afford considerable reduction in storage requirements while providing lossless representation. On the other hand, the one-dimensional nature of contours presents interesting challenges for processing images for handwritten word recognition. Our experiments indicate that significant gains are to be realized in both speed and recognition accuracy by using a contour representation in handwriting applications. Index Terms—Image processing, chain code, handwriting recognition, preprocessing, segmentation, feature extraction. æ
The research described in this paper focuses on the presentation of two novel preprocessing techniqu...
[[abstract]]Chain codes and y-axis representation are both commonly used representation of a region...
International audienceIn this paper, we propose an original representation model for handwriting doc...
The purpose of this paper is to present a novel contour code feature in conjunction with a rule base...
A contour-tracing technique originally divised by Clemens and Mason was modified and used with sever...
For several decades graphs act as a powerful and flexible representation formalism in pattern recogn...
Contours extraction, also known as chain-code extraction, is one of the most common algorithms of bi...
An operational system is presented for the recognition of handwritten words when written on line on ...
ABSTRACT — Pattern recognition deals with categorization of input data into one of the given classes...
We present an efficient lossless contour coding scheme based on a chain code representation. The alg...
Handwritten character recognition plays an important role in transforming raw visual image data obta...
This paper compares contour based and non-contours based techniques for extracting words from uncons...
Handwriting Character Recognition (HCR) is the task of detecting and recognizing characters or symbo...
In a handwriting recognition problem, characters can be represented using chain codes. The main prob...
In this paper, a new character segmentation algorithm for dealing with off-line handwritten script r...
The research described in this paper focuses on the presentation of two novel preprocessing techniqu...
[[abstract]]Chain codes and y-axis representation are both commonly used representation of a region...
International audienceIn this paper, we propose an original representation model for handwriting doc...
The purpose of this paper is to present a novel contour code feature in conjunction with a rule base...
A contour-tracing technique originally divised by Clemens and Mason was modified and used with sever...
For several decades graphs act as a powerful and flexible representation formalism in pattern recogn...
Contours extraction, also known as chain-code extraction, is one of the most common algorithms of bi...
An operational system is presented for the recognition of handwritten words when written on line on ...
ABSTRACT — Pattern recognition deals with categorization of input data into one of the given classes...
We present an efficient lossless contour coding scheme based on a chain code representation. The alg...
Handwritten character recognition plays an important role in transforming raw visual image data obta...
This paper compares contour based and non-contours based techniques for extracting words from uncons...
Handwriting Character Recognition (HCR) is the task of detecting and recognizing characters or symbo...
In a handwriting recognition problem, characters can be represented using chain codes. The main prob...
In this paper, a new character segmentation algorithm for dealing with off-line handwritten script r...
The research described in this paper focuses on the presentation of two novel preprocessing techniqu...
[[abstract]]Chain codes and y-axis representation are both commonly used representation of a region...
International audienceIn this paper, we propose an original representation model for handwriting doc...