Ningbo Sunrun Elec. & Info. St & D Co., Ltd.

Jianfen Wen

Ping Chen

Jiaming He

Dexiang Jia

Zhihui Shi

Linghui Fan

Chengchen Ma

Zhouyi Fan

Hongzhen Ding

Aijun Shi

Qingbo Zhang

The present invention discloses an on-line identifying method of hand-written Arabic letter. The advantage of the present invention is that the multilayer coarse classification algorithm based on the local characteristic of Arabic letter fully utilize the various local characteristics of Arabic letter, obtain the first candidate letter aggregation matching with the inputted hand-written Arabic letter according to the first level coarse classification formed by the stroke number of letter, and then obtain the second candidate letter aggregation matching with inputted hand-written Arabic letter according to the other local characteristics and the first candidate letter aggregation. The application of the algorithm enables that the inputted hand-written Arabic letter only need to match with the standard letter stored in the predetermined letter library and the corresponding standard letters of the second candidate letter aggregation.

On-line identifying method of hand-written Arabic letter

The present invention discloses an identifying method of hand-written Latin letter. The present invention considers many hand-written styles of Latin letter, extract many stable characteristics of Latin letter of different hand-written styles, and classify the Latin letter aggregation each time with one characteristic, so that the whole standard Latin letter aggregation is classified into many small Latin letter aggregations with intersection to be the coarse classification candidate letter aggregations to be identified. When identifying the inputted hand-written Latin letter, obtain the coarse classification candidate letter aggregation that matches with the characteristics of the inputted hand-written Latin letter. Many stable characteristics ensure the identifying rate. The multilayer coarse classification candidate letter aggregations regulate the searching path and increase the identifying speed.

Identifying method of hand-written Latin letter

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Ningbo, China

Jianfen Wen