Segmentation is one of the important phases of Optical Character Recognition (OCR) system, which extracts objects of interest from an image. Feature extraction and classification phases of OCR will be more effective, if the techniques selected for segmentation is effective. This paper focuses on to develop a system for handwritten documents containing Kannada script and proposes suitable techni...

552 Abstract—In many documents such as admission form, bank cheques, memorandums, letters and application forms machine printed and handwritten characters are mixed. Since the algorithms for recognition of machine-printed texts and handwritten texts are different, it is necessary to distinguish between these two types of texts before giving it to respective OCR systems to process it. This separ...

Finding an appropriate dataset for natural language processing applications is one of the main challenges for researches of this field. This issue is more problematic in Non-Latin languages especially Persian language. Access to an appropriate dataset that can be used in development of practical programs in language processing field, helps us to validate the obtained results and provide the fea...

This paper demonstrates how the nature of a source language document, and the broad goals set for the usability of the content, can direct the process of creating digital language documentation from that source. Gerhardt Laves’s handwritten 1931 field notes on Noongar language and culture of southwestern Australia were retranscribed using an XML markup scheme and processed in various ways using...

This paper is about retrieving the closest matches from a set of scanned handwritten documents based on a query that is a document image. System indexing and retrieval is based on writer characteristics, textual content as well as document meta data such as writer profile. Documents are indexed using global image features, e.g., stroke width, slant, word gaps, as well local features that descri...

on this paper, we proposed a new text line segmentation of handwritten and typewriting Arabic document images that uses the Outer Isothetic Cover (OIC) algorithm of a digital object. In the first step, we use this method to segment the composed document into text blocs. In the second step, for each text bloc we will extract the text lines. Finally, line text will be segmented into words or into...

In the literature, two methods for the extraction zones of the document are more used. The first method is based on the Mathematical Morphology (MM). The second is based on Hough Transform (HT). The main contribution of this paper is the application of these methods to extract the handwritten components of the complex document. The second contribution is the combination between the HT and the M...

SCRIPT-INDEPENDENT TEXT LINE SEGMENTATION IN FREESTYLE HANDWRITTEN DOCUMENTS LI Yi, Yefeng Zheng, David Doermann, and Stefan Jaeger Language and Media Processing Laboratory Institute for Advanced Computer Studies University of Maryland, College Park, MD 20742-3275 {liyi,doermann,jaeger}@umiacs.umd.edu and Siemens Corporate Research 755 College Road East, Princeton, NJ 08540 yefeng.zheng@siemens...

Line segmentation is the first and the most critical pre-processing step for a document recognition/analysis task. Complex handwritten documents with lines running into each other impose a great challenge for the line segmentation problem due to the absence of online stroke information. This paper describes a method to disentangle lines running into each other, by splitting and associating the ...

In this paper, we present a segmentation methodology of a handwritten document in its distinct entities namely text lines and words. Text line segmentation is achieved making use of the Hough Transform on a subset of the connected components of the document image. Also, a post-processing step includes the correction of possible false alarms, the creation of text lines that Hough Transform faile...