{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,4,6]],"date-time":"2022-04-06T04:32:55Z","timestamp":1649219575292},"reference-count":0,"publisher":"World Scientific Pub Co Pte Lt","issue":"05","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Patt. Recogn. Artif. Intell."],"published-print":{"date-parts":[[1997,8]]},"abstract":"<jats:p> Off-line cursive script recognition has got increasing attention during the last three decades since it is of interest in several areas such as banking and postal service. An off-line cursive handwritten word recognition system is described in this paper and is used for legal amount interpretation in personal checks. The proposed recognition system uses a set of geometric and topologic features to characterize each word. By considering the spatial distribution of these features in a word image, the proposed system maps each word into two strings of finite symbols. A local associative indexing scheme is then used on these strings to organize a vocabulary. When presented with an unknown word, the system uses the same indexing scheme to retrieve a set of candidate words likely to match the input word. A verification process is then carried out to find the best match among the candidate set. The performance of the proposed system has been tested with a legal amount image database from real bankchecks. The results obtained indicate that the proposed system is able to recognize legal amounts with great accuracy. <\/jats:p>","DOI":"10.1142\/s0218001497000330","type":"journal-article","created":{"date-parts":[[2003,10,6]],"date-time":"2003-10-06T07:00:00Z","timestamp":1065423600000},"page":"757-770","source":"Crossref","is-referenced-by-count":4,"title":["An Off-Line Cursive Handwritten Word Recognition System and Its Application to Legal Amount Interpretation"],"prefix":"10.1142","volume":"11","author":[{"given":"Ke","family":"Han","sequence":"first","affiliation":[{"name":"Ultrapointe Corporation, 163 Baypointe Parkway, San Jose, CA\u200995134, USA"}]},{"given":"Ishwar K.","family":"Sethi","sequence":"additional","affiliation":[{"name":"Vision and Neural Networks Laboratory, Department of Computer Science, Wayne State University, Detroit,  MI\u200948202, USA"}]}],"member":"219","published-online":{"date-parts":[[2011,11,21]]},"container-title":["International Journal of Pattern Recognition and Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S0218001497000330","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,7]],"date-time":"2019-08-07T12:38:51Z","timestamp":1565181531000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S0218001497000330"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[1997,8]]},"references-count":0,"journal-issue":{"issue":"05","published-online":{"date-parts":[[2011,11,21]]},"published-print":{"date-parts":[[1997,8]]}},"alternative-id":["10.1142\/S0218001497000330"],"URL":"https:\/\/doi.org\/10.1142\/s0218001497000330","relation":{},"ISSN":["0218-0014","1793-6381"],"issn-type":[{"value":"0218-0014","type":"print"},{"value":"1793-6381","type":"electronic"}],"subject":[],"published":{"date-parts":[[1997,8]]}}}