Alternatives to Variable Duration HMM in Handwriting Recognition

Authors:
Amlan Kundu;Yang He;Mou-Yen Chen
Affiliations:
US West Advanced Technologies, Boulder, CO;Xerox Imaging Systems, Peabody, MA;ITRI, Hsinchu, Taiwan, Republic of China
Venue:
IEEE Transactions on Pattern Analysis and Machine Intelligence
Year:
1998

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Abstract

A successful handwritten word recognition (HWR) system using Variable Duration Hidden Markov Model (VDHMM) and the PD-HMM strategy is easy to implement. The central theme of this paper is to show that if the duration statistics are computed, it could be utilized to implement an MD-HMM approach for better experimental results. This paper also describes a PD-HMM based HWR system where the duration statistics are not explicitly computed, but results are still comparable to VDHMM based HWR scheme [1].