scispace - formally typeset
Journal ArticleDOI

Statistical script independent word spotting in offline handwritten documents

Safwan Wshah, +2 more
- 01 Mar 2014 - 
- Vol. 47, Iss: 3, pp 1039-1050
TLDR
A statistical script independent line based word spotting framework for offline handwritten documents based on Hidden Markov Models and an exhaustive study of filler models and background models for better representation of background or non-keyword text.
About
This article is published in Pattern Recognition.The article was published on 2014-03-01. It has received 38 citations till now. The article focuses on the topics: Keyword spotting & Spotting.

read more

Citations
More filters
Journal ArticleDOI

A survey of document image word spotting techniques

TL;DR: The nature of texts and inherent challenges addressed by word spotting methods are thoroughly examined and the use of retrieval enhancement techniques based on relevance feedback which improve the retrieved results are investigated.
Journal ArticleDOI

HMM word graph based keyword spotting in handwritten document images

TL;DR: The proposed approach achieves KWS results comparable to those obtained with the recently-introduced "BLSTM neural networks KWS" approach and clearly outperform the popular, state-of-the-art "Filler HMM" KWS method.
Journal ArticleDOI

Script Identification of Multi-Script Documents: A Survey

TL;DR: The most vital processes in script identification are addressed in detail: identification and discriminating methods, features extraction (local and global, and classification), and classification.
Journal ArticleDOI

A Survey on handwritten documents word spotting

TL;DR: This paper gives an overview of published research efforts in the area of handwritten document image word spotting and on the technologies used in the field and describes a general model for document word spotting.
Journal ArticleDOI

Cross-language framework for word recognition and spotting of Indic scripts

TL;DR: In this article, a cross-language platform for handwritten word recognition and spotting for such low-resource scripts where training is performed with a sufficiently large dataset of an available script and testing is done on other scripts (considered as target script).
References
More filters
Journal ArticleDOI

A tutorial on hidden Markov models and selected applications in speech recognition

TL;DR: In this paper, the authors provide an overview of the basic theory of hidden Markov models (HMMs) as originated by L.E. Baum and T. Petrie (1966) and give practical details on methods of implementation of the theory along with a description of selected applications of HMMs to distinct problems in speech recognition.
Journal ArticleDOI

Online and off-line handwriting recognition: a comprehensive survey

TL;DR: The nature of handwritten language, how it is transduced into electronic data, and the basic concepts behind written language recognition algorithms are described.
Journal ArticleDOI

The IAM-database: an English sentence database for offline handwriting recognition

TL;DR: A database that consists of handwritten English sentences based on the Lancaster-Oslo/Bergen corpus, which is expected that the database would be particularly useful for recognition tasks where linguistic knowledge beyond the lexicon level is used.
Journal ArticleDOI

Using a statistical language model to improve the performance of an HMM-based cursive handwriting recognition systems

TL;DR: A novel feature of the system is that the HMM is applied in such a way that the difficult problem of segmenting a line of text into individual words is avoided and linguistic knowledge beyond the lexicon level is incorporated in the recognition process.
Journal ArticleDOI

Word spotting for historical documents

TL;DR: It is shown in a subset of the George Washington collection that such a word spotting technique can outperform a Hidden Markov Model word-based recognition technique in terms of word error rates.
Related Papers (5)