A Fuzzy Logic Based Novel Signature Verification System on Bank Cheque with Fractal Dimensions and Connected Components

Signature plays its authorization role in almost every document. Proper care should be taken for the verification of the genuineness of the signature in legal documents. Signature verification scheme can be online or offline based on the acquisition type. A novel method for offline signature verification in bank cheques is proposed. It is found out that using fractal dimensions for verification purpose improves the accuracy rate. Also the fundamentals of offline signature verification process are discussed. The proposed system uses connected Components Labeling, Fractal Dimensions and Fuzzy Logic for signature verification. The signature is scanned and preprocessed. Using connected components labeling, the signature is split into regions and each region is labeled uniquely. Feature values for each labeled regions are extracted and normalised. Fractal dimensions of signature images are calculated. Extracted feature values and fractal dimensions are compared with the feature values of the sample signatures for its genuineness. Fuzzy classifies the genuine and forged signatures correctly to its fullest extent. Some signatures may have more noise or it may be complex for the system to identify or classify. Those signatures may need some manual intervention. The proposed verification system shows very good results with good sensitivity and specificity. It has an accuracy of maximum 50%

Offline Handwritten Signature Verification - Literature Review

The area of Handwritten Signature Verification has been broadly researched in the last decades, but remains an open research problem. The objective of signature verification systems is to discriminate if a given signature is genuine (produced by the claimed individual), or a forgery (produced by an impostor). This has demonstrated to be a challenging task, in particular in the offline (static) scenario, that uses images of scanned signatures, where the dynamic information about the signing process is not available. Many advancements have been proposed in the literature in the last 5-10 years, most notably the application of Deep Learning methods to learn feature representations from signature images. In this paper, we present how the problem has been handled in the past few decades, analyze the recent advancements in the field, and the potential directions for future research.Comment: Accepted to the International Conference on Image Processing Theory, Tools and Applications (IPTA 2017

Automatic Extraction of Attributes from Printed Indian Cheque Images by Template Matching Technique

Reserve Bank of India (RBI) has introduced Cheque Truncation System (CTS) for Indian banks in order to reduce the time required for physical movement of cheques between the clearance departments. However, other processes including database entry and verification are carried out manually. The proposal here is to eliminate the manual intervention by extracting the attributes from the input cheque image and updating the database automatically which significantly would reduce the time lapse on filling up the data into the database. Automatic database updating also contributes to provide secure data retrieval through querying system for verification of attributes by concerned banks. In this paper, a novel approach to extract printed attributes from Indian Bank cheque images based on their template structures is proposed. Template structures are determined by extracting the MICR code from the input cheque image. Important attributes region is segmented, and the printed data is recognized. Extensive experiments demonstrate the efficacy of the proposed method

Drawing, Handwriting Processing Analysis: New Advances and Challenges

International audienceDrawing and handwriting are communicational skills that are fundamental in geopolitical, ideological and technological evolutions of all time. drawingand handwriting are still useful in defining innovative applications in numerous fields. In this regard, researchers have to solve new problems like those related to the manner in which drawing and handwriting become an efficient way to command various connected objects; or to validate graphomotor skills as evident and objective sources of data useful in the study of human beings, their capabilities and their limits from birth to decline

Development of image processing and vision systems with industrial applications

Ph.DDOCTOR OF PHILOSOPH