{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,20]],"date-time":"2026-06-20T19:25:32Z","timestamp":1781983532199,"version":"3.54.5"},"reference-count":15,"publisher":"Association for Computing Machinery (ACM)","issue":"1","license":[{"start":{"date-parts":[[2015,11,21]],"date-time":"2015-11-21T00:00:00Z","timestamp":1448064000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["ACM Trans. Asian Low-Resour. Lang. Inf. Process."],"published-print":{"date-parts":[[2016,1,22]]},"abstract":"<jats:p>The efficiency of any character recognition technique is directly dependent on the accuracy of the generated feature set that could uniquely represent a character and hence correctly recognize it. This article proposes a hybrid approach combining the structural features of the character and a mathematical model of curve fitting to simulate the best features of a character. As a preprocessing step, skeletonization of the character is performed using an iterative thinning algorithm based on Raster scan of the character image. Then, a combination of structural features of the character like number of endpoints, loops, and intersection points is calculated. Further, the thinned character image is statistically zoned into partitions, and a quadratic curve-fitting model is applied on each partition forming a feature vector of the coefficients of the optimally fitted curve. This vector is combined with the spatial distribution of the foreground pixels for each zone and hence script-independent feature representation. The approach has been evaluated experimentally on Devanagari scripts. The algorithm achieves an average recognition accuracy of 93.4%.<\/jats:p>","DOI":"10.1145\/2710018","type":"journal-article","created":{"date-parts":[[2015,11,23]],"date-time":"2015-11-23T13:20:44Z","timestamp":1448284844000},"page":"1-10","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":25,"title":["A Hybrid Feature Extraction Algorithm for Devanagari Script"],"prefix":"10.1145","volume":"15","author":[{"given":"Deepti","family":"Khanduja","sequence":"first","affiliation":[{"name":"Department of Computer Science and Engineering, MNIT Jaipur, Jaipur, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Neeta","family":"Nain","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, MNIT Jaipur, Jaipur, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Subhash","family":"Panwar","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, MNIT Jaipur, Jaipur, India"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2015,11,21]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1007\/BF02703312"},{"key":"e_1_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2008.88"},{"key":"e_1_2_1_3_1","volume-title":"Proceedings of the 7th International Conference on Document Analysis and Recognition (ICDAR\u201903)","author":"Blumenstein M."},{"key":"e_1_2_1_4_1","volume-title":"Proceedings of the 14th International Conference on Digital Signal Processing","volume":"2","author":"Haghighat K."},{"key":"e_1_2_1_5_1","volume-title":"Computer Graphics: C Version","author":"Hearn D.","year":"1997"},{"key":"e_1_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1010971905232"},{"key":"e_1_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1007\/11949619_72"},{"key":"e_1_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1155\/2012\/871834"},{"key":"e_1_2_1_9_1","volume-title":"Proceedings of the MUSCLE International Workshop on Computational Intelligence for Multimedia Understanding. 105--111","author":"Nain N."},{"key":"e_1_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2003.809399"},{"key":"e_1_2_1_11_1","volume-title":"Proceedings of the International Conference on Computer, Communication and Electrical Technology (ICCCET\u201911)","author":"Himavathi Pradeep E."},{"key":"e_1_2_1_12_1","volume-title":"Proceedings of the IEEE International Advance Computing Conference (IACC\u201909)","author":"Rajashekararadhya S. V."},{"key":"e_1_2_1_13_1","volume-title":"Proceedings of the 9th Biennial Conference of the Australian Pattern Recognition Society on Digital Image Computing Techniques and Applications. 454--461","author":"Ramana O. V."},{"key":"e_1_2_1_14_1","volume-title":"Proceedings of the 10th IWFHR. 613--618","author":"Bhattacharya B. Shaw U."},{"key":"e_1_2_1_15_1","volume-title":"Proceedings of the 11th International Conference Frontiers Handwritten Recognition SVM and MQDF. 367--372","author":"Umapada Pal T. W."}],"container-title":["ACM Transactions on Asian and Low-Resource Language Information Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2710018","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/2710018","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T20:01:09Z","timestamp":1750276869000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2710018"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,11,21]]},"references-count":15,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2016,1,22]]}},"alternative-id":["10.1145\/2710018"],"URL":"https:\/\/doi.org\/10.1145\/2710018","relation":{},"ISSN":["2375-4699","2375-4702"],"issn-type":[{"value":"2375-4699","type":"print"},{"value":"2375-4702","type":"electronic"}],"subject":[],"published":{"date-parts":[[2015,11,21]]},"assertion":[{"value":"2014-03-01","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2014-12-01","order":1,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2015-11-21","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}