Similar handwritten Chinese character recognition by kernel discriminative locality alignment
Pattern Recognition Letters
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In this paper, we propose a new framework of providing Handwritten Character Recognition as a Service (HCRaaS) via Internet, based on cloud computing technology. Using the proposed Cloud-based recognition platform, we would be able to apply many advanced algorithms in practice, such as modified quadratic discriminant function (MQDF) and SVM classifier used for large scale character recognition, writing adaptation technology, and handwriting Chinese word/text line recognition that usually involve large storage and computation cost. With the merits and characteristics of HCRaaS, users of different mobile devices are not only no longer subject to local computing capacity and storage resource constraints, but also, they can benefit from higher recognition accuracy and personalized service with low hardware costs. The experimental results show that, the proposed HCRaaS system based on Cloud computing can provide reliable handwriting solution across different mobile OS with higher recognition performance.