In this paper we present an approach to the problem of segmenting and identifying handwritten annotations on noisy document images. In many types of documents such as correspondence, it is not uncommon for handwritten annotations to be added as part of a note, correction, clarification, or instruction, or for initials or a signature to appear as an authentication mark. It is important to be abl...

Traditional handwriting recognition algorithms rely heavily on small lexicons and clean word images. Unfortunately, emergency medical documents do not satisfy either of these conditions. This paper describes a strategy whereby given an image representing a noisy handwritten word from a medical document, and a large lexicon consisting of English, medical and pharmacological words, symbols, abbre...

In this paper, a method for analytic handwritten word recognition based on causal Markov random fields is described. The words models are HMMs where each state corresponds to a letter; each letter is modelled by a NSHP-HMM (Markov field). Global models are build dynamically, and used for recognition and learning with the Baum-Welch algorithm. Learning of letter and word models is made using the...

Recent years have seen an upsurge of interest in computer handwriting recognition as a means of making computers accessible to a wider range of people. A complete system for off-line, automatic recognition of handwriting is described, which takes word images scanned from a handwritten page and produces word-level output. Normalisation and preprocessing methods are described and details of the r...

In this paper a word recognition and verification scheme based on HMMs is presented. However, the main contribution of the current work lies in the validation of such a strategy. In order to perform this task, we carried out some experiments on word recognition using a legal amount database and then we compared the results reached with other study which makes use of the same database. The exper...

There are several problems in pattern recognition system like feature extraction problem and identification, pre-processing and classification problem etc. One of the application domains in pattern classification is handwritten character or symbolic recognition. Identifying handwritten characters is always a complex and challenging task for the researchers. Wide research has been done on the ch...

ÐIn this paper, we describe a system for rapid verification of unconstrained off-line handwritten phrases using perceptual holistic features of the handwritten phrase image. The system is used to verify handwritten street names automatically extracted from live U.S. mail against recognition results of analytical classifiers. Presented with a binary image of a street name and an ASCII street nam...

This paper describes a new approach to ZIP code recognition using a word recognition algorithm, where a numeral string is recognized as a word. This paper also describes an end to end ZIP code recognition system consisting of tiltlslant correction, line segmentation, word segmentation, ZIP code location, as well as the ZIP code recognition. Evaluation tests are performed using address block ima...