关键词: 手写数字识别, LSI, 奇异值分解

Abstract:

By using the LSI(Latent Semantic Indexing) method of information retrieval in the handwritten digit classification problem, we obtain the right recognition with small computing cost and low recognition error rate (5.5%) through computing the rank of the similarities of the unknown digit vector with different training sets. Then, by making singular value decomposition on the matrix obtained by putting all the 09 digits training sets together, we propose an improved low order representation method based on the projection on the left singular vectors having suitable dimensions, and the method can greatly reduce the training set data (where the data reduction is more than 95%) and keep the low recognition error rate. Additionally, according to the differences between wellwritten digits and worsewritten digits, we reduce the recognition error rate further (down to 4.5%).

Key words: handwritten digit classification;LSI;singular value decomposition