A Knowledge based segmentation algorithm for enhanced recognition of handwritten courtesy amounts

"March 1994."Includes bibliographical references (p. [23]-[24]).Supported by the Productivity From Information Technology (PROFIT) Research Initiative at MIT.Karim Hussein ... [et al.

Feedback Based Architecture for Reading Check Courtesy Amounts

In recent years, a number of large-scale applications continue to rely heavily on the use of paper as the dominant medium, either on intra-organization basis or on inter-organization basis, including paper intensive applications in the check processing application. In many countries, the value of each check is read by human eyes before the check is physically transported, in stages, from the point it was presented to the location of the branch of the bank which issued the blank check to the concerned account holder. Such process of manual reading of each check involves significant time and cost. In this research, a new approach is introduced to read the numerical amount field on the check; also known as the courtesy amount field. In the case of check processing, the segmentation of unconstrained strings into individual digits is a challenging task because one needs to accommodate special cases involving: connected or overlapping digits, broken digits, and digits physically connected to a piece of stroke that belongs to a neighboring digit. The system described in this paper involves three stages: segmentation, normalization, and the recognition of each character using a neural network classifier, with results better than many other methods in the literaratu

Handwritten Bank Check Recognition of Courtesy Amounts

In spite of rapid evolution of electronic techniques, a number of large-scale applications continue to rely on the use of paper as the dominant medium. This is especially true for processing of bank checks. This paper examines the issue of reading the numerical amount field. In the case of checks, the segmentation of unconstrained strings into individual digits is a challenging task because of connected and overlapping digits, broken digits, and digits that are physically connected to pieces of strokes from neighboring digits. The proposed architecture involves four stages: segmentation of the string into individual digits, normalization, recognition of each character using a neural network classifier, and syntactic verification. Overall, this paper highlights the importance of employing a hybrid architecture that incorporates multiple approaches to provide high recognition rates

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

White RHINO: a low-cost communications radar hardware platform

Includes bibliographical referencesThe Electromagnetic spectrum has always been a very expensive resource and hence, has not been accessible to everyone. Yet, it is under-utilized. The new Whitespace Technology standards provide an efficient way to use the spectrum. However, the concept of shared spectrum introduced by the Whitespace Technology promises to reduce the cost of accessing the spectrum by a huge margin. Also, because the standards utilize the television channels, the VHF and UHF frequencies facilitate wireless transmission over large distances. This has provided impetus to various application developers. Using Whitespace Technology for Communications Radar is one such novel application which has great benefits for the African scenario. Here, the population is scattered and infrastructure for navigation and tracking is inadequate. But, there is a shortage of low-cost commercially available hardware platforms tailored for the application. In order to boost Whitespace-based Communications Radar application development, the White RHINO(Reconfigurable Hardware Interface for computation and radio) hardware platform was developed. It aims to fill the gap of low-cost commercial hardware platforms available for Whitespace-based Communications Radar. Being a Communications Radar platform, the White RHINO had to be designed keeping the standards and regulating body norms as yardsticks. However, an achievable radar performance of the platform under various scenarios was also estimated. The White RHINO contains an FPGA (the Zynq7000 series) which has dual embedded ARM processing cores. For the wireless interface, it contains a field programmable RF transceiver and an RF frontend section. The platform contains wired networking capability of 2 Gbps. The platform also has 512 MB DDR3 and 128 Mbit NAND ash as onboard memory. Finally, it has USB host, SDIO and JTAG for programmability and temperature sensors for system monitoring. The manufactured boards were tested under lab environment. It was found that except a failure on the RF transceiver section (due to a PCB footprint error), other interfaces were functional. The White RHINO successfully runs both U-Boot and Linux as operating systems. The error and other minor bugs have been corrected for the next fabrication run. Also, the cost of the complete White RHINO system is less than 1000 USD which makes it a very powerful platform and yet, less expensive than most of the commercially available platforms designed for similar applications

The Scowl - v.79 - n.21 - Mar 26, 2015

The Cowl - student newspaper of Providence College. Vol 79 - No. 21 - March 26, 2015. 16 pages

An Integrated architecture for recognition of totally unconstrained handwritten numerals

Reprint. Reprinted from the International journal of pattern recognition and artificial intelligence. Vol. 7, no. 4 (1993) "January 1993."Includes bibliographical references (p. 127-128).Supported by the Productivity From Information Technology (PROFIT) Research Initiative at MIT.Amar Gupta ... [et al.

Searching for gravitational waves from binary systems in non-stationary data

The gravitational wave detectors at the LIGO Observatories have achieved record sensitivity to gravitational-waves produced by astrophysical systems. The LIGO Scientific Collaboration has analyzed data taken in several science runs, searching for different signals. We describe a search for black holes with less than a solar mass in the LIGO data taken from February 22 to March 24, 2005. No gravitational waves were found, and an upper limit was set on the rate of mergers of such binary systems. This search, as well as other searches for binary systems, are affected by non-stationary noise. We describe the sophisticated pipeline that attempted to reduce the false trigger rate while maximizing the sensitivity to simulated signals. Details regarding this search and interpretation of this search are presented along with new strategies to increase the confidence in detection through signal based vetoes and better template waveforms