High-speed Recognition of Handwritten Amounts on Italian Checks
نویسنده
چکیده
In this chapter we describe an Italian bank check processing system. The system is made up of several processing modules, including those for data acquisition, image preprocessing, character center detection, character recognition, courtesy amount recognition, and legal amount recognition. The system reads and recognizes (at the character level) the courtesy and the legal amounts separately. Then the two streams of information are sent to a context analysis subsystem, which exploits the mutual redundancy in the courtesy and legal amounts. The output of the system is a list of possible amounts, which are sorted according to a decreasing recognition con dence. The system has an accuracy of 53% and can process up to three bank checks per second. The proposed system is partially implemented on an ad-hoc VLSI chip containing an array of dedicated processors tailored to the application, and tightly interconnected to a host personal computer.
منابع مشابه
Isolated Persian/Arabic handwriting characters: Derivative projection profile features, implemented on GPUs
For many years, researchers have studied high accuracy methods for recognizing the handwriting and achieved many significant improvements. However, an issue that has rarely been studied is the speed of these methods. Considering the computer hardware limitations, it is necessary for these methods to run in high speed. One of the methods to increase the processing speed is to use the computer pa...
متن کاملTraining neural networks for reading handwritten amounts on checks
While reading handwritten text accurately is a difficult task for computers, the conversion of handwritten papers into digital format is necessary for automatic processing. Since most bank checks are handwritten, the number of checks is very high, and manual processing involves significant expenses, many banks are interested in systems that can read check automatically. This paper presents seve...
متن کاملA knowledge-based segmentation algorithm for enhanced recognition of handwritten courtesy amounts
A knowledge based segmentation critic algorithm to enhance recognition of courtesy amounts on bank checks is proposed in this paper. This algorithm extracts the context from the handwritten material and uses a syntax parser based on a deterministic finite automaton to provide adequate feedback to enhance recognition. The segmentation critic presented is capable of handling a number of commonly ...
متن کاملیک روش دو مرحلهای برای بازشناسی کلمات دستنوشته فارسی به کمک بلوکبندی تطبیقی گرادیان تصویر
This paper presented a two step method for offline handwritten Farsi word recognition. In first step, in order to improve the recognition accuracy and speed, an algorithm proposed for initial eliminating lexicon entries unlikely to match the input image. For lexicon reduction, the words of lexicon are clustered using ISOCLUS and Hierarchal clustering algorithm. Clustering is based on the featur...
متن کاملRecognizing Handwritten Amounts from Brazilian Checks
This paper discusses automated reading and processing of Brazilian bank checks. It highlights the main characteristics of Brazilian checks and the variety of writing styles that makes recognition more difficult than in countries where handwriting amounts are more uniform. Neural networks are used to recognize isolated digits obtained after segmentation. One set of neural networks was trained wi...
متن کامل