• The Journal of the Acoustical Society of Korea
• /
• v.18 no.2
• /
• pp.3-10
• /
• 1999

This paper describes the development and evaluation of a Korean address input system employing automatic speech recognition technique as user interface for input Korean address. Address consists of cities, provinces and counties. The system works on a window 95 environment of personal computer with built-in soundcard. In the speech recognition part, the Continuous density Hidden Markov Model(CHMM) for making phoneme like units(PLUs) and One Pass Dynamic Programming(OPDP) algorithm is used for recognition. For address recognition, Finite State Automata(FSA) suitable for Korean address structure is constructed. To achieve an acceptable performance against the variation of speakers, microphones, and environmental noises, Maximum a posteriori(MAP) estimation is implemented in adaptation. And to improve the recognition speed, fast search method using variable pruning threshold is newly proposed. In the evaluation tests conducted for the 100 connected words uttered by 3 males the system showed above average 96.0% of recognition accuracy for connected words after adaption and recognition speed within 2 seconds, showing the effectiveness of the system.

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

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

• Journal of Korea Society of Industrial Information Systems
• /
• v.12 no.4
• /
• pp.74-88
• /
• 2007

In order to automate the process of mail sorting by delivery sequence, it is necessary to prepare a postal address database and to interpret written addresses on the mail-pieces with the database and OCR technology. The address database is a critical factor of automation and informatization of postal service since it could be used not only in address recognition but also in various mail processing. In this study, we design the schema of postal address database, design the postal address file based on it and explain the method of address interpretation and retrieval using it. We analyze infonnation requirements for transformation of postal address into the standardized format and consider them in the process of design. The postal address file can be used by address matching or retrieval system as well as by Hangul address recognition system for automation of delivery sequence mail-sorting.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.31 no.11B
• /
• pp.979-986
• /
• 2006

DSTM is one of the 1Pv6/IPv4 transition mechanisms using IPv4-in-IPv6 tunneling for communication between IPv6 node with dual stack and Ipv4-only node. In DSTM, the DSTM server using the DHCPv6 is vulnerable to DoS attacks which can exhaust the IPv4 address pool. In this paper, an authentication model using a HRAA (Human Recognition Address Allocation) scheme was proposed to protect DHCP server against DoS attacks. The proposed authentication model in DSTM that uses an image file for verification is effective because only human can respond to the challenge for authenticated address allocation. The proposed model can be used anytime and anywhere in a DSTM domain, and is secure against DoS attacks.

• The Journal of the Acoustical Society of Korea
• /
• v.20 no.7
• /
• pp.55-62
• /
• 2001

In this paper, we propose a new adaptative pruning algorithm which effectively reduces the search space during the recognition process. As maximum probabilities between neighbor frames are highly interrelated, an efficient pruning threshold value can be obtained from the maximum probabilities of previous frames. The main idea is to update threshold at the present frame by a combination of previous maximum probability and hypotheses probabilities. As present threshold is obtained in on-going recognition process, the algorithm does not need any pre-experiments to find threshold values even when recognition tasks are changed. In addition, the adaptively selected threshold allows an improvement of recognition speed under different environments. The proposed algorithm has been applied to a Korean Address recognition system. Experimental results show that the proposed algorithm reduces the search space of average 14.4% and 9.14% respectively while preserving the recognition accuracy, compared to the previous method of using fixed pruning threshold values and variable pruning threshold values.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.23 no.1
• /
• pp.87-92
• /
• 2013

In this paper, we developed a digital and integrated PA(Public Address) system with speech recognition and sensor connection based on IP with an ID using agent. It has facilities such as an external input, a microphone and a radio for a PA system and has speech recognition. If "fire" is spoken to the PA system then it can recognize the emergency situation and will broadcast information to the appropriate agency immediately. In addition to that, many sensors, such as temperature, humidity, and infrared, etc., can be connected to the PA system and can be integrated with the context awareness which contains many types of information about internal statuses using inference agent. Also, developed the digital integrated PA system will make it possible to broadcast the message to adaptable places using network IP based on IDs. Finally, the digital PA system is designed for operation from a PC, which makes installation and setting of operating parameters very simple and user-friendly. For implementation details, we implemented thread based concurrent processing for the events which occur concurrently from many sensors or users.

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

• Bulletin of the Korean Mathematical Society
• /
• v.55 no.1
• /
• pp.81-105
• /
• 2018

In this paper we give two characterisations of the class of reflexive graphs admitting distributive lattice polymorphisms and use these characterisations to address the problem of recognition: we find a polynomial time algorithm to decide if a given reflexive graph G, in which no two vertices have the same neighbourhood, admits a distributive lattice polymorphism.

• The KIPS Transactions:PartD
• /
• v.11D no.3
• /
• pp.703-708
• /
• 2004

Currently the amount of general letter mail in Korea is on an increasing trend; especially it shows the seasonality that is concentrated in the end of the month or the year. However, the situation is not treated appropriately Moreover. manpower insufficiency if the carriers causes the poor service and the heavy burden of work. Under the existing conditions, the various efforts such as development of the automatic sequence sorting system and construction of the address database are given in order to quicken mall process and lighten the carriers' burden But the inconsistent addressing and the various expressions of address drop the systems and the carriers off in efficiency. In this study, we present the Korean postal addressing standards to make it possible to improve the performance of address recognition and help postmen to sort the mail; particularly focusing on the substance. After analyzing the domestic system, the information structure and the problems of postal address, we propose four fundamentals and the standards including synonyms and acronyms. In addition, we suggest several considerations for mail format. We expect that this study could support the postal service in Korea as a basic standard.