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You can filter signatures from other thing in sheet.

1- specify foreground & background of sheet.

2- classify foreground by color.

3- classify by width of stroke of any foreground object by distance transform.

4- classify stoke by zero crossing.

You can filter signatures from other thing in on the sheet.

1- specify foreground & background of sheet.

2- classify foreground by color.

3- classify by width of stroke of any foreground object by distance transform.

4- classify stoke by zero crossing.

You can filter signatures from other thing on the sheet.

1- specify foreground & background of sheet.

2- classify foreground by the object color.

3- classify by width of stroke of any foreground object by the distance transform.

4- classify stoke by the zero crossing.

You can filter signatures from other thing on the sheet.

1- specify the foreground & background of the sheet.

2- classify foreground by the object color.

3- classify by width of stroke of any foreground object by the distance transform.

4- classify stoke by the zero crossing.

You can filter signatures from other thing on the sheet.

1- specify the foreground & background of the sheet.

2- classify foreground by the object color.

3- classify by width of stroke of any foreground object by the distance transform.

4- classify stoke by the zero crossing.

You can filter signatures from other thing on the sheet.

1- specify the foreground & background of the sheet.

2- classify foreground by the object color.

3- classify by width of stroke of any foreground object by the distance transform.

4- classify stoke by the zero crossing.

Edit: In the preprocessing stage,the noise level or quality of the sheet can be determined.Use the blockwise FFT ,ٍEntropy ,Standard deviation to compute the quality of sheet then use to low pass filter to reduce noise.If part of signature has been altered The gabor filter can be used to repair it.

You can filter signatures from other thing on the sheet.

1- specify the foreground & background of the sheet.

2- classify foreground by the object color.

3- classify by width of stroke of any foreground object by the distance transform.

4- classify stoke by the zero crossing.

Edit: In the preprocessing stage,the noise level or quality of the sheet can be determined.Use the blockwise FFT ,ٍEntropy ,Standard deviation to compute the quality of sheet then use to low pass filter to reduce noise.If part of signature has been altered The gabor filter can be used to repair it.

You can filter signatures from other thing on the sheet.

1- specify the foreground & background of the sheet.

2- classify foreground by the object color.

3- classify by width of stroke of any foreground object by the distance transform.

4- classify stoke by the zero crossing.

Edit: In the preprocessing stage,the noise level or quality of the sheet can be determined.Use the blockwise FFT dft() ,ٍEntropy ,Standard deviation ,[Standard deviation](http://docs.opencv.org/modules/core/doc/operations_on_arrays.html#void meanStdDev(InputArray src, OutputArray mean, OutputArray stddev, InputArray mask) to compute the quality of sheet then use to low pass filter to reduce noise.If part of signature has been altered The gabor filter can be used to repair it.

In the recognition stage use the vector quantization for quantize the signature curves then use the HMM(hidden markov model) for the training sequence of lines.