NDLI: Recognition of handwritten word: first and second order hidden Markov model based approach

Content Provider	IEEE Xplore Digital Library
Author	Kundu, A. He, Y. Bahl, P.
Copyright Year	1988
Description	Author affiliation: Dept. of Electr. Eng., State Univ., of New York, Buffalo, NY, USA (Kundu, A.; He, Y.; Bahl, P.)
Abstract	The handwritten word recognition problem is modeled in the framework of the hidden Markov model (HMM). The states of HMM are identified with the letters of the alphabet. The optimum symbols are then generated experimentally using 15 different features. Both the first- and second-order HMMs are proposed for the recognition tasks. Using the existing statistical knowledge of English, the calculation scheme of the model parameters are immensely simplified. Once the model is established, the Viterbi algorithm is used to recognize the sequence of letters consisting the word. Some experimental results are also provided indicating the success of the scheme.<>
Starting Page	457
Ending Page	462
File Size	472109
Page Count	6
File Format	PDF
ISBN	0818608625
ISSN	10636919
DOI	10.1109/CVPR.1988.196275
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1988-06-05
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Handwriting recognition Hidden Markov models Stochastic processes Probability distribution Vocabulary Speech processing Speech recognition Tin Natural languages Writing
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Software

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

Recognition of handwritten script: a hidden Markov model based approach

Stochastic trajectory modeling for recognition of unconstrained handwritten words

Off-line handwritten Chinese character recognition with hidden Markov models

Hidden Markov Models for Online Handwritten Tamil Word Recognition

Off-line handwritten word recognition using a hidden Markov model type stochastic network

TV-gram language models for offline handwritten text recognition

Recognition of handwritten words using stochastic models

Automatic word recognition based on second-order hidden Markov models

Off-line handwritten word recognition (HWR) using a single contextual hidden Markov model

Recognition of handwritten word: first and second order hidden Markov model based approach

Similar Documents

Recognition of handwritten script: a hidden Markov model based approach

Stochastic trajectory modeling for recognition of unconstrained handwritten words

Off-line handwritten Chinese character recognition with hidden Markov models

Hidden Markov Models for Online Handwritten Tamil Word Recognition

Off-line handwritten word recognition using a hidden Markov model type stochastic network

TV-gram language models for offline handwritten text recognition

Recognition of handwritten words using stochastic models

Automatic word recognition based on second-order hidden Markov models

Off-line handwritten word recognition (HWR) using a single contextual hidden Markov model

Recognition of handwritten word: first and second order hidden Markov model based approach