{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,10,23]],"date-time":"2023-10-23T05:05:34Z","timestamp":1698037534360},"reference-count":22,"publisher":"Wiley","issue":"11","license":[{"start":{"date-parts":[[2007,3,22]],"date-time":"2007-03-22T00:00:00Z","timestamp":1174521600000},"content-version":"vor","delay-in-days":6289,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Systems &amp; Computers in Japan"],"published-print":{"date-parts":[[1990,1]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>In the production line for the automobile, the recognition of the frame number, stamped on the automobile chassis for production instruction or management, is indispensable. One problem of the alphanumerals stamped on the chassis is that the width and the depth of the stamped groove vary for each stamped character and position due to the variation of the stamping pressure of the stamping machine. Another problem is that a slow undulation is produced at an unspecified position of the stamped surface due to the strain near the stamped groove. When the stamped characters are imaged and binarized, adjacent characters connect and frequently one character separates into several pieces. Such connections and separations make it difficult to segment accurately the individual character regions. This paper considers the accurate segmentation of such stamped characters. The proposed method examines the extent of variation of gray level in each pixel\u2010line without binarizing the gray\u2010level image and classifies the characters by the differences of the variation. The result of experiment by the proposed method is as follows. For 11,000 stamped characters composed of 36 alphanumerals and two symbols, the rate of character extraction is 99.9 percent. For 1500 characters composed of 15 alpha\u2010numerals after character segmentation, the recognition rate is 99.5 percent without rejection. These recognition rates are higher than those in the conventional method, demonstrating the effectiveness of the proposed method.<\/jats:p>","DOI":"10.1002\/scj.4690211105","type":"journal-article","created":{"date-parts":[[2007,7,7]],"date-time":"2007-07-07T18:44:33Z","timestamp":1183833873000},"page":"47-57","source":"Crossref","is-referenced-by-count":0,"title":["A new character segmentation method for recognition of stamped alphanumerals on automobile chassis"],"prefix":"10.1002","volume":"21","author":[{"given":"Tomoaki","family":"Nakano","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shin","family":"Yamamoto","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2007,3,22]]},"reference":[{"key":"e_1_2_1_2_2","article-title":"Stamped character checker","volume":"58","author":"Nitta Y.","year":"1982","journal-title":"Tech. Rep. TV Soc., Japan"},{"key":"e_1_2_1_3_2","unstructured":"Y.HongoandA.Komuro.Stamped Character Inspection Apparatus Based on The Bit Matrix Method. Proc. of the 6th Int. Conf. on Pattern Recognition pp.448\u2013450(1982)."},{"key":"e_1_2_1_4_2","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.1986.350207"},{"key":"e_1_2_1_5_2","article-title":"Industrial character reader (TOSEYE\u20101000)","volume":"86","author":"Nakamura Y.","year":"1986","journal-title":"Papers of Technical Group on Pattern Recognition and Understanding. I.E.I.C.E., Japan"},{"key":"e_1_2_1_6_2","unstructured":"S.Yamamoto T.Nakano N.Takeda andS.Kase.Stamped character recognition system for character stamped on automotive frame panel. Nat. Conv. I.E.I.C.E. Japan S12\u20139 (1987)."},{"issue":"6","key":"e_1_2_1_7_2","first-page":"1057","article-title":"Recognition of stamped character with painted background","volume":"71","author":"Nakano T.","year":"1988","journal-title":"Trans. (D), I.E.I.C.E., Japan"},{"issue":"4","key":"e_1_2_1_8_2","first-page":"437","article-title":"Extraction algorithm for character region in alphanumeric text image","volume":"66","author":"Nakano O.","year":"1983","journal-title":"Trans. (D), I.E.I.C.E., Japan"},{"issue":"4","key":"e_1_2_1_9_2","first-page":"481","article-title":"Character extraction in Japanese printed document\u2014Application to automatic reading of newspaper","volume":"24","author":"Toyota J.","year":"1983","journal-title":"Trans. Inf. Proc. Soc., Japan"},{"issue":"10","key":"e_1_2_1_10_2","first-page":"1194","article-title":"Character extraction from printed document by noncontact character extraction priority","volume":"67","author":"Akiyama T.","year":"1984","journal-title":"Trans. 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Conv., I.E.I.C.E., Japan, Gen."},{"key":"e_1_2_1_15_2","article-title":"Extraction of specific character region from complex background","volume":"1152","author":"Hoshino H.","year":"1983","journal-title":"Nat. Conv., I.E.I.C.E., Japan"},{"key":"e_1_2_1_16_2","unstructured":"M.Takatoo M.Kanasaki T.Mishima T.Shibata andH.Ota.Gray\u2010scale image processing technology applied to vehicle license number recognition system. Proc. Int. Workshop on Industrial Applications of Machine Vision and Machine Intelligence pp.76\u201379(Feb.1987)."},{"issue":"5","key":"e_1_2_1_17_2","first-page":"863","article-title":"Dynamic binarization for detecting characters in scene","volume":"71","author":"Shio A.","year":"1988","journal-title":"Trans. (D), I.E.I.C.E., Japan"},{"issue":"6","key":"e_1_2_1_18_2","first-page":"1037","article-title":"Extraction and recognition of character patterns in a scene","volume":"71","author":"Otani A.","year":"1988","journal-title":"Trans. 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