NDLI: Category-Based Language Models for Handwriting Recognition of Marriage License Books

Content Provider	IEEE Xplore Digital Library
Author	Romero, V. Andreu Sanchez, J.
Copyright Year	2013
Description	Author affiliation: Dept. de Sist. Informaticos y Comput., Univ. Polit`ecnica de Val`encia, Valencia, Spain (Romero, V.; Andreu Sanchez, J.)
Abstract	Handwritten marriage licenses books have been used for centuries by ecclesiastical institutions to register marriages. These documents have interesting information, useful for demography studies, organized in a list of individual marriage license records, such as an accounting book. The information in these books is usually collected by expert demographers that devote a lot of time to transcribe them. Despite the structure of the text, the automatic transcription and semantic information extraction of these documents is quite difficult due to the distinct and evolutionary vocabulary, which is composed mainly of proper names that change along the time. In this paper, we have defined some categories taking into account the semantic information included in the licenses. Then a category-based language model has been generated and integrated into the handwritten text recognition system. We study how the use of these categories can benefit not only the handwriting recognition step, but also the posterior semantic information extraction and knowledge discovery.
Starting Page	788
Ending Page	792
File Size	901086
Page Count	5
File Format	PDF
ISBN	9780769549996
ISSN	15205363
DOI	10.1109/ICDAR.2013.161
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-08-25
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Hidden Markov models Licenses Semantics Training Handwriting recognition Data mining Databases information extraction Handwriting marriage license books Category-based language models
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Using advanced Hidden Markov Models for online Arabic handwriting recognition

Human Evaluation of the Transcription Process of a Marriage License Book

Stochastic Segment Modeling for Offline Handwriting Recognition

On-line Arabic Handwriting Recognition System Based on HMM

An Information Extraction Model for Unconstrained Handwritten Documents

A study on effects of implicit and explicit language model information for DBLSTM-CTC based handwriting recognition

Research and application of hidden Markov model in data mining

Progress in the Raytheon BBN Arabic Offline Handwriting Recognition System

XML Structure Extraction from Plain Texts with Hidden Markov Model

Category-Based Language Models for Handwriting Recognition of Marriage License Books

Similar Documents

Using advanced Hidden Markov Models for online Arabic handwriting recognition

Human Evaluation of the Transcription Process of a Marriage License Book

Stochastic Segment Modeling for Offline Handwriting Recognition

On-line Arabic Handwriting Recognition System Based on HMM

An Information Extraction Model for Unconstrained Handwritten Documents

A study on effects of implicit and explicit language model information for DBLSTM-CTC based handwriting recognition

Research and application of hidden Markov model in data mining

Progress in the Raytheon BBN Arabic Offline Handwriting Recognition System

XML Structure Extraction from Plain Texts with Hidden Markov Model

Category-Based Language Models for Handwriting Recognition of Marriage License Books