-Signature is the most important feature of a bank cheque. Basically signature verification is a scheme to verify a cheque for its authentication. The data base consist of several bank’s cheque. The present paper focuses on different steps including browsing a bank cheque, pre-processing, feature extraction, recognition. Preprocessing stage includes image resizing, noise elimination, thinning e...

Cheque Truncation System(CTS) is an automatic cheque clearance system implemented by RBI.CTS uses cheque image, instead of the physical cheque itself, for cheque clearance thus reducing the turn around time drastically. This approach holds back the physical movement of cheque from presenting bank to the drawee bank. In CTS, digital image of the cheque is protected using standard public key and ...

The segmentation of bank cheque images is a fundamental phase of its automatic processing. In the segmentation phase, one of the most important steps is the background elimination, that has to respect the physical integrity of the rest of the cheque image information. This paper describes a simple and robust solution for the background elimination problem, using a process that involves two stag...

Until the rise of electronic means for direct debit, bank cheques have been used as the best form of payment, balancing security and ease of use. Its acceptance and generalized use are result of international agreements that define rules for filling and using it. The fast processing of payments and transactions through safer electronic methods has created the need to reduce its usage over the l...

With the modern world going on-line for all businesses, we need to transact with various business organizations all over the world using different modes of payment obtained through various Financial Institutions. We have considered the following bank transaction. A person X having an account in bank C issued a cheque for certain amount in favor of a person Y having an account in bank B. But, Y ...

Automatic reading of handwritten cheque is a computationally complex process and it plays an important role in financial risk management. Machine vision and learning provide a viable solution to this problem. Research effort has mostly been focused on recognizing diverse pitches of cheques and demand drafts with an identical outline. However most of these methods employ templatematching to loca...

We study a multimodal-learning problem where, given an image containing single-line (printed or handwritten) text and candidate transcription, the goal is to assess whether represented in corresponds text. This problem, which we dub matching, primarily motivated by real industrial application scenario of automated cheque processing, whose automatically information bank (e.g., issue date) match ...

We propose the idea of a Quantum Cheque Scheme, a cryptographic protocol in which any legitimate client of a trusted bank can issue a cheque, that cannot be counterfeited or altered in anyway, and can be verified by a bank or any of its branches. We formally define a Quantum Cheque and present the first Unconditionally Secure Quantum Cheque Scheme and show it to be secure against any no-signali...