Data Extraction from Hand-filled Form using Form Template

Database is very vital for taking the day to day decision and in the long run it helps in formulation of policies, strategies of an organization. Numerous efforts, time and money are spent to get, store and process the data. To get the data from a user, an interface is designed which is known as form. The forms may vary from paper based to online. Manually processing paper based form is prone to errors. Therefore, it will be useful to deploy automated systems for reading data from paper based forms and storing it in the database. Further, this data can be modified, processed and analyzed. In this paper, we have proposed a method to extract data from hand-filled pre-designed form based on form templates. DOI: 10.17762/ijritcc2321-8169.15084

Recognition and identification of form document layouts

In this thesis, a hierarchical tree representation is introduced to represent the logical structure of a form document. But different forms might have the same logical structure, so the representation will be ambiguous. In this thesis, an improvement is proposed to solve the ambiguity problem by using the physical information of the blocks. To fulfill the application of hierarchical tree representation and extract the physical information of blocks, a pixel tracing approach is used to extract form layout structures from form documents. Compared with Hough transform, the pixel tracing algorithm requires less computation. This algorithm has been tested on 50 different table forms. It effectively extracts all the line information required for the hierarchical tree representation, represents the form by a hierarchical tree, and distinguishes the different forms. The algorithm applies to table form documents