NDLI: Text line segmentation and word recognition in a system for general writer independent handwriting recognition

Content Provider	IEEE Xplore Digital Library
Author	Marti, U.-V. Bunke, H.
Copyright Year	2001
Description	Author affiliation: Inst. fur Inf. und Angewandte Math., Bern Univ., Switzerland (Marti, U.-V.)
Abstract	We present a system for recognizing unconstrained English handwritten text based on a large vocabulary. We describe the three main components of the system, which are preprocessing, feature extraction and recognition. In the preprocessing phase the handwritten texts are first segmented into lines. Then each line of text is normalized with respect to of skew, slant, vertical position and width. After these steps, text lines are segmented into single words. For this purpose distances between connected components are measured. Using a threshold, the distances are divided into distances within a word and distances between different words. A line of text is segmented at positions where the distances are larger than the chosen threshold. From each image representing a single word, a sequence of features is extracted. These features are input to a recognition procedure which is based on hidden Markov models. To investigate the stability of the segmentation algorithm the threshold that separates intra- and inter-word distances from each other is varied. If the threshold is small many errors are caused by over-segmentation, while for large thresholds under-segmentation errors occur. The best segmentation performance is 95.56% correctly segmented words, tested on 541 text lines containing 3899 words. Given a correct segmentation rate of 95.56%, a recognition rate of 73.45% on the word level is achieved.
Sponsorship	IAPR
Starting Page	159
Ending Page	163
File Size	426784
Page Count	5
File Format	PDF
ISBN	0769512631
DOI	10.1109/ICDAR.2001.953775
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2001-09-13
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Handwriting recognition Text recognition Image segmentation Feature extraction Hidden Markov models Error correction Testing Stability Character recognition Data mining
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

A new scheme for off-line handwritten connected digit recognition

Stochastic Segment Modeling for Offline Handwriting Recognition

Effective Technique for the Recognition of Writer Independent Off-Line Handwritten Arabic Words

Text Line Segmentation and Word Recognition in a System for General Writer Independent Handwriting Recognition (2001)

A Comparison of Recognition for Off-line Myanmar Handwriting and Printed Characters

On appearance-based feature extraction methods for writer-independent handwritten text recognition

Over-segmentation and validation strategy for off-line cursive handwriting recognition

Handwritten Character Recognition Using HMM Model Based on Bagging Method

An experimental HMM-based postal OCR system

Text line segmentation and word recognition in a system for general writer independent handwriting recognition

Similar Documents

A new scheme for off-line handwritten connected digit recognition

Stochastic Segment Modeling for Offline Handwriting Recognition

Effective Technique for the Recognition of Writer Independent Off-Line Handwritten Arabic Words

Text Line Segmentation and Word Recognition in a System for General Writer Independent Handwriting Recognition (2001)

A Comparison of Recognition for Off-line Myanmar Handwriting and Printed Characters

On appearance-based feature extraction methods for writer-independent handwritten text recognition

Over-segmentation and validation strategy for off-line cursive handwriting recognition

Handwritten Character Recognition Using HMM Model Based on Bagging Method

An experimental HMM-based postal OCR system

Text line segmentation and word recognition in a system for general writer independent handwriting recognition