テガキ カンジ データ ベース ノ データ アッシュク ジッケン

At the study of recognition of handwritten KANJI characters, it is also necessary to evaluate the recognition efficiency of the developed method. The common data base is necessary when we compare the various algorithms. So, the handwritted KANJI data base ETL-8 (B2) is made and open to public by Electrotechnical Laboratory in Japan. This data base is stored in 3 open reel magnetic tapes because of its large volume.In this paper, we converted this data base into the data base on MS-DOS and showed the results of data compression experiments with it made for the purpose of using it. on a personal computer or a work-station

タジュウ ジショ ルイジドホウ ニヨル テガキ ルイジ カンジ ノ シキベツ ジッケン

The results of discrimination experiment of similar handprinted KANJI characters by multidictionary templet matching method is presented. This recognition method is one of the applications of templet matching method and uses multiple temlets for each category. To examine the discrimination ability of this method, three experimental parameters are used. The first is the number of multiple templets for each category, the second is the number of training samples which make the templets and the last is the picture size of character patterns. The handprinted KANJI character data base ETL-9(B2) made at Electrotechnical Laboratory is used as the test data

pH-resistant Inhibitor of Mitochondrial ADP/ATP Carrier

Bongkrekic acid (BKA), isolated from Burkholderia cocovenenans, is known to specifically inhibit the mitochondrial ADP/ATP carrier. However, the manner of its interaction with the carrier remains elusive. In the present study, we tested the inhibitory effects of 17 bongkrekic acid analogues, derived from the intermediates obtained during its total synthesis, on the mitochondrial ATP/ATP carrier. Rough screening of these chemicals, done by measuring their inhibitory effects on the mitochondrial ATP synthesis, revealed that 4 of them, KH-1, 7, 16, and 17, had moderate inhibitory effects. Further characterization of the actions of these 4 analogues on mitochondrial function showed that KH-16 had moderate; KH-1 and KH-17, weak; and KH-7, negligible side effects of both permeabilization of the mitochondrial inner membrane and inhibition of the electron transport, indicating that only KH-7 had a specific inhibitory effect on the mitochondrial ADP/ATP carrier. Although the parental bongkrekic acid showed a strong pH dependency of its action, the inhibitory effect of KH-7 was almost insensitive to the pH of the reaction medium, indicating the importance of the 3 carboxyl groups of BKA for its pH- dependent action. A direct inhibitory effect of KH-7 on the mitochondrial ADP/ATP carrier was also clearly demonstrated

ニューラル ネットワーク オ モチイタ ダクテン ハンダクテン ノ ウム ニヨル テガキ ヒラガナ ノ ブンルイ

Handwritten HIRAGANA characters are classified according to whether they have DAKUTEN (or HAN-DAKUTEN) or not by the 3-layer neural networks. The input data to the networks is 25-dimensional local mesh-feature extracted from an original character pattern. The numbers of units of three layers are 25 (input-layer), 25 (hidden-layer) and 2 (output-layer). The numbers of training and unknown samples used in a classification experiment are 6900 and 5000,respectively. The average classification rate of 94(%) for the unknown samples is obtained

ニホンゴ ニヨル ゲンゴ ヘッジ ノ コウチク ニツイテ

Linguistic headges are very important to construct the sets of natural language expression which are the linguistic variable\u27s values. We construct Japanese linguistic headges and evaluate those headges. They are incorporated into the air conditional fuzzy inference system. The method of fuzzy inference is E. H. Mamdani\u27s method. The inputs to the system are not numerals, but the words of natural language. The system has been able to respond with no inconsistencies to any input

サマザマ ナ ホウコウ ニ カタムイタ インサツ スウジ ノ ニンシキアルゴリズム

Currently, there has been a great deal of research concerning the extraction of character lines from images of everyday scenes. In such images, however, the character lines will appear at various angles, and so we generally have to conduct revision processing for the angles to recognize such characters. In this paper, we have tried to recognize printed numerals at various angles without conducting this revision. The principle methods of our recognition algorithm are labeling, thinning, the detection of the center of gravity of images and the making of convex hull images. We obtained an average recognition rate of 95.99 (%) with the algorithm using 1296 samples for each category

ショダナ ガゾウ カラノ ショセキ ノ セモジ リョウイキ ノ チュウシュツニツイテ

In this paper, we examined the extraction of character regions from bookshelf images to assist in making a book database system. The extraction algorithm has two processes, 1) an extraction of the book images from the bookshelf image, 2) an extraction of character regions from the book images. In the first stage, the bookshelf image is divided into several sectors based on the direction of density gradient of the image pixels. Then, by applying the Hough translation, the straight lines composing the edge lines of the book images can be detected. In the second process, we use the peripheral distribution of the book image to detect the width and height of each character. Using 23 bookshelf images containing 124 books with 1227 characters, we obtained an extraction rate of book images of 93.5 (%) and an extraction rate of character regions of 89.9 (%)

チョウフク リョウイキ オ ユウスル フクスウ ノ ブブン ガゾウ カラノ ゲンガゾウ サイコウセイ

We attempt to input a large image data to the computer using an image scanner for an A4 paper without cutting up the data. We input an original image data as 4 partial images with overlap areas to the computer. The original data is reconstructed by sticking 4 images at the overlap areas together. The data used in an experiment are 6 different color images and 15 data sets (4 partial images/sets) are made from each image. Using these 90 data sets, we made an experiment to detect overlap area of each partial image and obtained the detection rate of 97.8(%). We also examine how to join one partial image to other partial images