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2010 The 2nd International Conference on Computer and Automation Engineering (ICCAE)
This paper proposes the use of content base image retrieval (CBIR) techniques for indexing and retrieval of handwritten documents in Thai language. Issues associated with Thai handwritten documents are the lack of spacing between words, multi-level alphabets and different writing styles. This causes low recognition rate based on automated techniques such as Optical Character Recognition (OCR). This paper also examined off-line signature recognition techniques in order to adapt to Thaidoi:10.1109/iccae.2010.5451992 fatcat:fl4pvxasorhgpkufiibu2zubje