TY - GEN
T1 - Part-based recognition of handwritten characters
AU - Uchida, Seiichi
AU - Liwicki, Marcus
PY - 2010/12/1
Y1 - 2010/12/1
N2 - In the part-based recognition method proposed in this paper, a handwritten character image is represented by just a set of local parts. Then, each local part of the input pattern is recognized by a nearest-neighbor classifier. Finally, the category of the input pattern is determined by aggregating the local recognition results. This approach is opposed to conventional character recognition approaches which try to benefit from the global structure information as much as possible. Despite a pessimistic expectation, we have reached recognition rates much higher than 90% for a digit recognition task. In this paper we provide a detailed analysis in order to understand the results and find the merits of the local approach.
AB - In the part-based recognition method proposed in this paper, a handwritten character image is represented by just a set of local parts. Then, each local part of the input pattern is recognized by a nearest-neighbor classifier. Finally, the category of the input pattern is determined by aggregating the local recognition results. This approach is opposed to conventional character recognition approaches which try to benefit from the global structure information as much as possible. Despite a pessimistic expectation, we have reached recognition rates much higher than 90% for a digit recognition task. In this paper we provide a detailed analysis in order to understand the results and find the merits of the local approach.
UR - http://www.scopus.com/inward/record.url?scp=79951719629&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=79951719629&partnerID=8YFLogxK
U2 - 10.1109/ICFHR.2010.90
DO - 10.1109/ICFHR.2010.90
M3 - Conference contribution
AN - SCOPUS:79951719629
SN - 9780769542218
T3 - Proceedings - 12th International Conference on Frontiers in Handwriting Recognition, ICFHR 2010
SP - 545
EP - 550
BT - Proceedings - 12th International Conference on Frontiers in Handwriting Recognition, ICFHR 2010
T2 - 12th International Conference on Frontiers in Handwriting Recognition, ICFHR 2010
Y2 - 16 November 2010 through 18 November 2010
ER -