Signature Recognition and Language Identifcation for Document Retrieval

Advancements in the digital technologies leading the budding non-human interfaces at same time demanding for secure functionalities. One of the requirements rose in dealing with document and its authentication. Digital advancements have high potentials in documents authentication without any indecisive by using image processing techniques. In this paper, we focus on two fundamental problems in signature-based document image retrieval. First, we propose a novel multi-scale approach to jointly detecting and segmenting signatures from document images. Than treat the problem of signature retrieval in the unconstrained setting of translation, scale, and rotation invariant non-rigid shape matching. And identifying the language of which the retrieved document contained. At the same time increasingly automated including the task of presenting a text in any language as automatically translated text in any other language. For multilingual type of documents, it is very essential to identify the text language portion of the document, before the analysis of the contents could be made.