Application of artificial neural network model for optical character recognition

Mani, N.; Srinivasan, Bala

doi:10.1109/icsmc.1997.635312

Cited by 31 publications

(11 citation statements)

References 5 publications

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“…In 1997, Nallasamy Mani and Bala Srinivasan [6] applied artificial neural network approach for optical character recognition (OCR). That was a simple pattern recognition system using artificial neural network to simulate character recognition.…”

Section: Work Donementioning

confidence: 99%

Pattern Recognition Using Artificial Neural Network: A Review

Kim

2010

Communications in Computer and Information Science

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Abstract. Among the various frameworks in which pattern recognition has been traditionally formulated, the statistical approach has been most intensively studied and used in practice. More recently, artificial neural network techniques theory have been receiving increasing attention. The design of a recognition system requires careful attention to the following issues: definition of pattern classes, sensing environment, pattern representation, feature extraction and selection, cluster analysis, classifier design and learning, selection of training and test samples, and performance evaluation. In spite of almost 50 years of research and development in this field, the general problem of recognizing complex patterns with arbitrary orientation, location, and scale remains unsolved. New and emerging applications, such as data mining, web searching, retrieval of multimedia data, face recognition, and cursive handwriting recognition, require robust and efficient pattern recognition techniques. The objective of this review paper is to summarize and compare some of the well-known methods used in various stages of a pattern recognition system using ANN and identify research topics and applications which are at the forefront of this exciting and challenging field.

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Section: Work Donementioning

confidence: 99%

Pattern Recognition Using Artificial Neural Network: A Review

Kim

2010

Communications in Computer and Information Science

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“…Mani, et.al [1] proposed many artificial neural network models have been proposed to mimic the human brain in solving problems involving human-like intelligence.An application of an artificial neural network approach for optical character recognition (OCR) is discussed in this paper.We examine a simple pattern-recognition system using an artificial neural network to simulatecharacter recognition. Young-Mo Kim, et.al [2] proposed an algorithmic architecture for a high-performance OCR system for hand-printed and handwritten addresses is proposed.…”

Section: Litreture Surveymentioning

confidence: 99%

Imageprocessing based pincode recognizing and sectionwise courier sorting system

Redgaonkar¹,

Sonar²,

Tatar³

et al. 2016

IJEEE

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In India, post and courier system are one of the most commonly used communication portals. The Indian postal system is the biggest network among whole world. In India the people living in the rural area are more as compared to the metropolitan region. Due to such circumstances a system should be developed which is efficient to handle large number of posts and parcels at post courier stations. For such purpose, we are designing a system which will eliminate all possibilities of the errors produced by traditional sorting methodologies.We are implementing the system with the help of LabVIEW software which uses the Optical Character Recognition (OCR) technique to recognize the address. On the input side camera is used as a detector to capture images of the envelope. While using the Optical Character Recognition technique the detection of the address can be done without compulsion of pin code. LabVIEW will compare the input image with the stored database and as it matches with stored database, a moving arm will take the parcel to its appropriate locations. This, all process will minimize human errors and the number of other error probabilities caused due to conventional system.

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“…It is not possible to search the content in a scanned document that is stored in the memory of a computer. OCR is the technology which enables recognizing the characters through an optical mechanism automatically [7]. OCR can recognize both printed text and handwritten text [3].…”

Section: Optical Character Recognitionmentioning

confidence: 99%

Automatic Cheque Clearance System using MATLAB

Rao¹,

Krishna²

2016

CVRJST

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Nowadays Cheque Truncating System (CTS) compliant cheques are used in banks for saving time and reducing effort in depositing cheques. With the development of image processing it is possible to make machines read the documents instead of humans. Applying the image processing technique in the cheque deposition in banks can reduce the human effort, time and also will be cost effective. In this paper, an automatic cheque clearance system is discussed using Optical Character Recognition (OCR) system by feature extraction and pattern recognition concepts in image processing. Using this one, can reduce time, human effort and money in processing of cheques. The algorithms are executed using MATLAB.

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Application of artificial neural network model for optical character recognition

Cited by 31 publications

References 5 publications

Pattern Recognition Using Artificial Neural Network: A Review

Pattern Recognition Using Artificial Neural Network: A Review

Imageprocessing based pincode recognizing and sectionwise courier sorting system

Automatic Cheque Clearance System using MATLAB

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