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It is difficult to classify object or scene images with high accuracy when the dataset is relatively large. Spatial Pyramid Matching (SPM) was proposed to deal with this problem, but there are some shortages. As an improvement for SPM, we proposed three pieces of meliorations: first, use approximate nearest neighbor method instead of k-means for clustering; second, regulate the size of codebook referring...
Most online handwriting word recognition (HWR) approaches proceed by segmenting words into isolate characters which are recognized separately. Inspired by results in cognitive psychology, holistic word recognition approaches provides another effective way to deal the problem of HWR. In this paper, we propose a new method for rotation free online unconstrained Chinese word recognition through a holistic...
This paper proposes a novel ldquoair-writingrdquo character recognition system (ACRS) based on optical detection of red light, with which a user can write a character in the air with a red light-emitting device. The trajectories of the light can be captured and detected by a camera during the writing process and then a character reconstruction algorithm is employed to convert them to a 2-D plan (as...
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