A classifier for predicting the character accuracy achieved by any Optical Character Recognition (OCR) system on a given page is presented. This classifier is based on measuring the amount of white speckle, the amount of character fragments, and overall size information in the page. No output from the OCR system is used. The given page is classified as either “good” quality (i.e., high OCR accu...

This paper proposes a method for Urdu language text. Character recognition is obtained by OCR. This paper represents the effectiveness of characters with SVM Classifier using Hierarchical approach. SVM is a useful technique for data classification. The objective of SVM is to generate a model which predicts the target value. The work is done on Sindhi Character Set. The experiment shows that cha...

The paper discusses ongoing research on the effects of a signing avatar's modeling/rendering features on the perception of sign language animation. It reports a recent study that aimed to determine whether a character's visual style has an effect on how signing animated characters are perceived by viewers. The stimuli of the study were two polygonal characters presenting two different visual st...

In this paper, we propose a new method for the best ranking of OCR word hypotheses in order to increase the chances that the correct hypothesis will be ranked in the first position. This method is based on the images construction of the OCR word hypotheses and the calculation of the dissimilarity scores between these last constructed images and the image to recognize. To evaluate the new propos...

1!aditi~!lallY, ~_ Chin~se or J_ap~ese Optical Character Reader (OCR) has to representeach character category individually as one or more feature prototypes, or a structural description which is a composition of manually derived components such as radicals. Here we propose a new approach in which various kinds of visual similarities between different Chinese characters are analyzed automaticall...

Character segmentation has long been one of the most critical areas of optical character recognition process. Through this operation, an image of a sequence of characters, which may be connected in some cases, is decomposed into sub-images of individual alphabetic symbols. In this paper, segmentation of cursive handwritten script of world’s fourth popular language, Bengali, is considered. Unlik...

In this paper we present the GRUHD database of Greek characters, text, digits, and other symbols in unconstrained handwriting mode. The database consists of 1,760 forms that contain 667,583 handwritten symbols and 102,692 words in total, written by 1,000 writers, 500 men and equal number of women. Special attention was paid in gathering data from writers of different age and educational level. ...

This paper proposes using a novel region space technique to track sport persons for the purpose of extracting their shirt numbers and use this to provide augmented information to the viewer. The region adjacency graph and picture trees are used to perform a search for an object using prior knowledge from a scene description. Once the candidate object has been extracted the subspace is examined ...