SIGNATURE RECOGNITION SYSTEM Group Number:10 Group Members: Richa Goyal(y08uc103) Rashmi Singhal(y08uc102)

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Presentation transcript:

SIGNATURE RECOGNITION SYSTEM Group Number:10 Group Members: Richa Goyal(y08uc103) Rashmi Singhal(y08uc102)

Input And The Expected Output  Input would be the image of a signature which is to be verified.  The expected output is either acceptance or rejection of the input image after its comparison to the one in the database using High Level Processing techniques.

Approaches Planned  Low Level Processing: Image Acquisition -Getting the image of the signature. Preprocessing -Image enhancement.  Intermediate Level Processing: Segmentation -Partitioning the image into small parts to give raw pixel data. Representation -Transforming the data to a form suitable for computer processing. Feature Selection -Extraction of quantitative features.  High Level Processing: Recognition -Labeling on the basis of description. Interpretation -Comparing the obtained image to the one in the database.

Challenges Associated  Selection of the relevant part of the signature image  Orientation of image  Varying inks being used for signatures

Gantt Chart 26th October,2010 – Project Start Till 7th November,2010 – Matlab coding of low level processing Till 14th November,2010 – Matlab coding for intermediate level processing Till 20th November,2010 – Matlab coding complete till high level processing By 23rd November,2010 – Analysis on various inputs and completion of presentation.