In this paper I will try to explain the nature of document understanding in all of its dimensions. Therefore I will first describe the characteristics of data, knowledge, and info...
Existing skeletonization methods operate directly on the binary image ignoring the gray-level information. In this paper we propose a new method for the skeletonization of handwri...
With an aim to high-level understanding of the mathematical contents in a document image the requirement of math-zone extraction and recognition technique is obvious. In this pape...
S. P. Chowdhury, S. Mandal, Amit Kumar Das, Bhabat...
In this paper, we propose a new character generation method from on-line handwriting recognizers based on Bayesian networks. On-line handwriting recognizers are trained with handw...
In this paper, we propose a Bayesian network framework for explicitly modeling components and their relationships of Korean Hangul characters. A Hangul character is modeled with h...
In this paper, we propose a generalized shock model for the enhancement and restoration of degraded gray-level character images. This model is a quasi-linear hyperbolic partial di...
This paper addresses the problem of photo time-stamp detection and recognition, which is to determine the time a photo was taken. Since the time-stamp is exposed together with the...
In OCR systems the character segmentation algorithm may generate mis-segmented blocks. Feedback information from character classifier is indispensable to achieve higher character ...
A large volume of legacy documents in Indian languages exist only in paper form. Web based interactive access techniques for images of these documents can ensure wider disseminati...