With large databases of document images available, a method for users to find keywords in documents will be useful. One approach is to perform Optical Character Recognition (OCR) ...
The word error rate of any optical character recognition system (OCR) is usually substantially below its component or character error rate. This is especially true of Indic langua...
Venkat Rasagna, Anand Kumar 0002, C. V. Jawahar, R...
Classifier combination is a powerful strategy to support useful solutions in difficult classification problems. Notwithstanding, the effectiveness of a multi-classifier system str...
Giuseppe Pirlo, Donato Impedovo, Claudia Adamita T...
This paper proposes a new approach for the multiple frame integration of video, whose novelty mainly lies in three phases: Firstly, in the text-block group (TBG) identification, w...
Image registration is crucial for various image analysis tasks. In particular, most approaches to correction of bleed-through distortion on handwritten document images require the...
Detection of characters in scenery images is often a very difficult problem. Although many researchers have tackled this difficult problem and achieved a good performance, it is...
A new hybrid page layout analysis algorithm is proposed, which uses bottom-up methods to form an initial data-type hypothesis and locate the tab-stops that were used when the page...
Character prototype approaches for writer identification produces a consistent set of templates that are used to model the handwriting styles of writers, thereby allowing high acc...
SIFT descriptor has been widely applied in computer vision and object recognition, but has not been explored in the field of handwritten Chinese character recognition. In this pap...