• Journal of Korea Society of Industrial Information Systems
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• v.12 no.4
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• pp.15-24
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• 2007

The recognition of postal address images is indispensable for the automatic sorting of postal envelopes. The process of the address image recognition is composed of three steps-address image preprocessing, character recognition, address interpretation. The extracted character images from the preprocessing step are forwarded to the character recognition step, in which multiple candidate characters with reliability scores are obtained for each character image extracted. aracters with reliability scores are obtained for each character image extracted. Utilizing those character candidates with scores, we obtain the final valid address for the input envelope image through the address interpretation step. The envelope sorting rate depends on the performance of all three steps, among which character recognition step could be said to be very important. The good character recognizer would be the one which could produce valid candidates with very reliable scores to help the address interpretation step go easy. In this paper, we propose the method of generating character candidates with reliable recognition scores. We utilize the existing MLP(multilayered perceptrons) neural network of the address recognition system in the current automatic postal envelope sorters, as the classifier for the each image from the preprocessing step. The MLP is well known to be one of the best classifiers in terms of processing speed and recognition rate. The false alarm problem, however, might be occurred in recognition results, which made the address interpretation hard. To make address interpretation easy and improve the envelope sorting rate, we propose promising methods to reestimate the recognition score (confidence) of the existing MLP classifier: the generation method of the statistical recognition properties of the classifier and the method of the combination of the MLP and the subspace classifier which roles as a reestimator of the confidence. To confirm the superiority of the proposed method, we have used the character images of the real postal envelopes from the sorters in the post office. The experimental results show that the proposed method produces high reliability in terms of error and rejection for individual characters and non-characters.

• 제어로봇시스템학회:학술대회논문집
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• 2000.10a
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• pp.365-365
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• 2000

In this paper, we describe the system to recognize the six digit postal number of mails using neural network. Our zip-code recognition system consists of a preprocessing procedure for the original captured image, a segmentation procedure for separating an address block area with a shape, and recognition procedure for the cognition of a postal number. we extract the feature vectors that are the input of a neural network for the recognition process based on an area optimizing and an image thinning processing. The neural network classifies the zip-code in the mail and the recognized zip-code is verified through the zip-code database.

• Proceedings of the Korean Information Science Society Conference
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• 2000.10b
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• pp.335-337
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• 2000

본 연구에서는 문자 인식의 응용으로서 인쇄된 우편봉투의 주소를 인식한다. 스캐너로 입력된 우편봉투 영상으로부터 주소영역과 우편번호 영역을 분리한다. 분리된 각각의 영역에서 문자를 추출하고, 전처리로써 정규화, 특징추출 단계를 거쳐 우편번호와 주소를 각각 인식하였다. 이때, 우편번호 인식에 의하여 알 수 있는 주소와 실제로 인식한 주소의 신뢰도를 계산하여, 주소 인식 결과를 보정하는 과정을 거쳐 우편봉투의 인식을 실행하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2002.11c
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• pp.2341-2344
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• 2002

우편물량 처리에서 병목현상의 원인이 되고있는 수작업에 의한 순로구분 작업을 원활하고 신속하게 처리하며 집배원의 업무 부담을 경감시키기 위해 자동화가 시도되고 있다. 이러한 자동화된 순로구분기의 개발에 있어 순로구분에 필요한 주소 데이터 베이스를 관리하기 위해서는 각 배달지점에 대한 고유한 ID 부여가 필요하다. 따라서 본 논문에서는 아직 체계화되지 않은 한국 주소의 배달점 코드 설계 방안에 대해서 연구하였다. 먼저 해외 각국의 배달점 코드할당 방법을 알아보고, 배달점 코드의 기본 정의 및 설계 방향을 제시한다. 그리고 각 주소의 고유한 배달점 코드를 설계하는데 있어 여러 가지 방안을 제시하고 각 대안별 장단점 및 설계 방법을 제시하였으며 적합한 설계 방안을 선정하였다. 또한 기존의 주소체계뿐만 아니라 도입 예정인 새주소 체계와의 적합성도 고려하였다. 본 논문에서 제시한 우편번호 앞 3자리와 6자리의 일련번호를 연결한 배달점 코드가 현재의 한국 주소체계 뿐만 아니라 새주소 체계에도 적합할 것으로 판단된다. 마지막으로 몇 가지 적용 사례를 통한 제안한 방안들을 검증해 보았다.

• The Journal of Society for e-Business Studies
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• v.14 no.2
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• pp.57-69
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• 2009

Korea post delivers more than 4.7 billions of mails and parcels per year. Although postal service is invoked by mail acceptance from customers, mail acceptance service is not as mature as sorting or delivery service in terms of automation and informatization. In this paper, we reviewed current status and issues of the mail acceptance service, analyzed relavent technologies and foreign case-studies, and suggest an information strategy plan for better service. According to the strategies, we propose several action plans for applying adequate information technologies. In addition, we address important results of patents analysis for major technologies. The results of this study could contribute to determining the information strategy and the R&D plan for future postal service.

• Proceedings of the Korea Information Processing Society Conference
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• 2001.10a
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• pp.589-592
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• 2001

본 논문에서는 고속 필기 한글 주소 인식을 위한 낱자 인식기를 제안한다. 인식 대상은 우편번호 여섯 자리에 할당된 주소에 출현 빈도가 높은 필기 한글 469 자이다. 제안된 방법은 낱자 인식 기법을 채택하고 있으며, 인식률과 처리속도를 향상시키기 위하여 2 단계 인식 전략을 채택하였다. 인식기로는 다층퍼셉트론, 최소거리분류기, Subspace 방법을 고려한다. 다층퍼셉트론은 비교적 높은 인식률과 처리속도를 보유하지만 출력값이 확률이 아님으로써 후처리를 필요로 하는 시스템에서 사용하기 어렵다. 최소거리분류기는 간단한 알고리즘으로 처리속도가 높고 확률을 출력하는 장점을 갖지만 인식률이 낮아 활용되기 어렵다. 또한 Subspace 방법은 인식률이 높고 확률을 출력하지만 처리속도가 매우 느리다는 단점이 있다. 따라서 제안방법에서는 처리속도가 높은 인식기 - 다층퍼셉트론, 최소거리분류기 - 를 사용하여 선인식을 수행한 후, 이 결과를 활용하여 인식 대상을 제한한 후 Subspace 방법을 사용하여 정확하게 인식하는 전략을 도입함으로써, 높은 인식결과를 유지하면서 처리속도를 높이고 후처리에 적합하도록 하였다. PE92 데이터베이스를 사용하여 실험한 결과 제안방법이 한글 469 자에 대하여 비교적 높은 인식률과 처리속도를 갖음을 알 수 있었다.

• The KIPS Transactions:PartB
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• v.10B no.4
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• pp.429-442
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• 2003

In this paper, we describe an address image recognition system for automatic processing of standard- size letter mail. The inputs to the system are gray-level mail piece images and the outputs are delivery point codes with which a delivery sequence of carrier can be generated. The system includes five main modules; destination address block location, text line separation, character segmentation, character recognition and finally address interpretation. The destination address block is extracted on the basis of experimental knowledge and the line separation and character segmentation is done through the analysis of connected components and vortical runs. For recognizing characters, we developed MLP-based recognizers and dynamical programming technique for interpretation. Since each module has been implemented in an independent way, the system has a benefit that the optimization of each module is relatively easy. We have done the experiment with live mail piece images directly sampled from mail sorting machine in Yuseong post office. The experimental results prove the feasibility of our system.

• The Journal of the Korea institute of electronic communication sciences
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• v.11 no.1
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• pp.113-118
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• 2016

This study found that there are problems in sending mails at the postal service reception desks and proposes a system which transmits address information to POSNET(the terminals at post office reception) without the use of an additional security system based on address information which is stored in the terminals of mobile phones. The system proposed transforms the information of users into two-dimensional barcode(QR code) of the POSNET and a number of address information is texturized and transmitted to the POSNET with the use of how to read QR code and LAN such as bluetooth. When the system proposed is connected to the postal reception system, it can create and output mail addresses for mobile computers automatically and contribute to better performance for the post office reception clerks and better economic results.

• The Journal of Society for e-Business Studies
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• v.15 no.2
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• pp.93-105
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• 2010

Address and location information is gaining importance as a channel between business entities and customers. However, as the new address scheme, which is based on street name and building number, is deployed, various problems occurred in the areas of postal service, logistics and management of customer information. And therefore it is necessary to make plans for integration and application of address information and location information. In this study, we clearly identify the problems when the governments and companies manage the address and location information under the circumstances of new address system. And we suggest improvement plans from the viewpoint of code scheme and database linkage.

• IE interfaces
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• v.14 no.3
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• pp.247-254
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• 2001

As current postal automation is limited to dispatch and arrival sorting, delivery sequence sorting is performed manually by each postman. It not only acts as a bottleneck process in the overall mailing process but is expensive operation. To cope with this problem effectively, delivery sequence sorting automation is required. The important components of delivery sequence sorting automation system are sequence sorter and Hangul OCR which function is to extract the address of delivery point. DSI database will be interfaced to both Hangul OCR and sequence sorter for finding the accurate delivery sequence number and stacker number. The objectives of this research are to develop DSI(Delivery Sequence Information) database prototype and client application for managing information effectively. For database requirements collection and analysis, we draw all possible sorting plans, and apply the AHP(Analytic Hierarchy Process) method to determine the optimal one. And then, we design DSI database schema based on the optimal one and implement it using Oracle RDBMS. In addition, as address information in DIS database consist of hierarchical structure which has its correspondence sequence number, so it is important to reorganize sequence information accurately when address information is inserted, deleted or updated. To increase delivery accuracy, we reflect this point in writing application.