TY - GEN
T1 - Novel VQ designs for discrete HMM on-line handwritten whiteboard note recognition
AU - Schenk, Joachim
AU - Schwärzler, Stefan
AU - Ruske, Günther
AU - Rigoll, Gerhard
PY - 2008
Y1 - 2008
N2 - In this work we propose two novel vector quantization (VQ) designs for discrete HMM-based on-line handwriting recognition of whiteboard notes. Both VQ designs represent the binary pressure information without any loss. The new designs are necessary because standard k-means VQ systems cannot quantize this binary feature adequately, as is shown in this paper. Our experiments show that the new systems provide a relative improvement of r = 1.8 % in recognition accuracy on a character- and r = 3.3 % on a word-level benchmark compared to a standard k-means VQ system. Additionally, our system is compared and proven to be competitive to a state-of-the-art continuous HMM-based system yielding a slight relative improvement of r = 0.6 %.
AB - In this work we propose two novel vector quantization (VQ) designs for discrete HMM-based on-line handwriting recognition of whiteboard notes. Both VQ designs represent the binary pressure information without any loss. The new designs are necessary because standard k-means VQ systems cannot quantize this binary feature adequately, as is shown in this paper. Our experiments show that the new systems provide a relative improvement of r = 1.8 % in recognition accuracy on a character- and r = 3.3 % on a word-level benchmark compared to a standard k-means VQ system. Additionally, our system is compared and proven to be competitive to a state-of-the-art continuous HMM-based system yielding a slight relative improvement of r = 0.6 %.
UR - http://www.scopus.com/inward/record.url?scp=54349114351&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-69321-5_24
DO - 10.1007/978-3-540-69321-5_24
M3 - Conference contribution
AN - SCOPUS:54349114351
SN - 3540693203
SN - 9783540693208
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 234
EP - 243
BT - Pattern Recognition - 30th DAGM Symposium, Proceedings
T2 - 30th DAGM Symposium on Pattern Recognition
Y2 - 10 June 2008 through 13 June 2008
ER -