• Journal of the Korea Society for Simulation
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• v.11 no.3
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• pp.35-48
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• 2002

In the work presented here, we describe a method to extract TrueType features for supporting letter recognition. Even if variously existing document processing techniques have been challenged, almost few methods are capable of recognize a letter associated with its TrueType features supporting OCR free, which boost up fast processing time for image text retrieval. By reviewing the mechanism generating digital fonts and birth of TrueType, we realize that each TrueType is drawn by its contour of the glyph table. Hence, we are capable of deriving the segment with density for a letter with a specific TrueType, defined by the number of occurrence over a segment width. A certain number of occurrence appears frequently often due to the fixed segment width. We utilize letter recognition by comparing TrueType feature library of a letter with that from input word images. Experiments have been carried out to justify robustness of the proposed method showing acceptable results.

• 제어로봇시스템학회:학술대회논문집
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• 1997.10a
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• pp.577-580
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• 1997

• 제어로봇시스템학회:학술대회논문집
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• 1997.10a
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• pp.581-584
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• 1997

Discussed is stroke identification technique for automatic recognition of kanji characters without using the order of drawing strokes of a character.

• Annual Conference on Human and Language Technology
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• 2004.10d
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• pp.225-228
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• 2004

English has words that have a silent letter in their letter strings (e.g., knowledge). Such words provide an opportunity of investigating the role of phonological information in multi-syllabic words by comparing them to words that do not have the silent letter in the corresponding position (e.g., available). Stimuli that excluded a silent letter (e.g., _nowledge) were processed faster than those that excluded a sounding letter (e.g., _vailable) in the lexical decision task. The evidence from this experiment provides seminal evidence of phonological recoding in multi-syllabic word recognition

• The Journal of Korean Institute of Communications and Information Sciences
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• v.21 no.6
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• pp.1379-1389
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• 1996

Hangul character always consists of consonants-vowel-consonants in order. Using this point, this paper proposes an approach to design a model for spotting each letter in Hangul, and then recognize characters based on the spotting results. The network model consist of a set of HMMs. The letter search is carried out by Viterbi algorithm, while character recognition is performed by searching the lattice of letter hypotheses. Experimental results show that, in spite of simple architecture of recognition, the performance is quite high reaching 87.47% for discrete regular characters. In particular the approach shows highly plausible segmentation of letters in characters.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 1995.10a
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• pp.427-430
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• 1995

This paper proposes a new image processing algorithm to recognize korean documents. It take out the region of syllable area from input character image, then it makes recognition of a consonant and a vowel in the character. A precision segmentation is very important to recognize the input character. The input image has 8-bit gray scaled resolution. Not only the shape but also vertical and horizontal lines dispersion graph are used for segmentation. Theresult shows a higher accuracy of character segmentation.

• Korean Journal of Cognitive Science
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• v.32 no.3
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• pp.99-115
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• 2021

Unlike most other alphabetic languages, letter transposition effect was not found in Korean except in the syllable level and in the morpheme level. This study was conducted in order to investigate the possible reason of the absence of letter transposition effect in Korean. Based on previous letter transposition studies, this study was to investigate on whether syllable frequency is a moderating variable and is responsible for the absence of the letter transposition effect. The results showed that significant letter transposition effect was found when a transposed non-word has high frequency syllable(e.g., 민주화 → 진무화), while such effect was not seen in a transposed non-word with low frequency syllable. The results showed that the letter transposition effect can found in Korean as well. The results also implicate the possibility that syllable frequency is the main moderating variable regarding the Korean letter transposition effect.

• Proceedings of the IEEK Conference
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• 2002.07c
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• pp.1772-1775
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• 2002

In this paper, we propose a Hangul character recognition method in which new letter components as recognition units are introduced and the MLP (multilayer perceptrons) neural networks are employed for two-step recognition of Hangul. To recognize Hangul character, we divide it into two or three recognition units and extract the direction angle features of them to be fed to the corresponding neural network recognizers. The recognition results of neural network recognizers are combined by another neural network. The experiments were conducted on the Hangul characters from real letter envelopes which are collected in the mail centers in Korea and the results showed that our method performs better than the conventional one.

• Journal of Information Processing Systems
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• v.19 no.4
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• pp.540-553
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• 2023

The hollow letter CAPTCHA (Completely Automated Public Turing test to tell Computers and Humans Apart) is an optimized version of solid CAPTCHA, specifically designed to weaken characteristic information and increase the difficulty of machine recognition. Although convolutional neural networks can solve CAPTCHA in a single step, a good attack result heavily relies on sufficient training data. To address this challenge, we propose a seed filling algorithm that converts hollow characters to solid ones after contour line restoration and applies three rounds of detection to remove noise background by eliminating noise blocks. Subsequently, we utilize a support vector machine to construct a feature vector for recognition. Security analysis and experiments show the effectiveness of this algorithm during the pre-processing stage, providing favorable conditions for subsequent recognition tasks and enhancing the accuracy of recognition for hollow CAPTCHA.

• ETRI Journal
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• v.28 no.3
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• pp.405-408
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• 2006

In this letter, we suggest a postal RFID application model and system architecture that can be used for real-time trace and tracking system implementation of parcel processing and pallet management. This letter also shows the tag recognition performance of parcels and pallets by speed and mounting tag materials such as cans, water, and paper using an implemented postal RFID system for postal logistics.