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{ "pk": 31690, "title": "Recognizing Handprinted Digit Strings: a Hybrid Connectionist/Procedural Approach", "subtitle": null, "abstract": "We describe an alternative approach to hand-\nprinted word recognition using a hybrid of proce-\ndural and connectionist techniques. We utilize two\nconnectionist components: one to concurrently make recognition and segmentation hypotheses, and another to perform refined recognition of segmented\ncharacters. Both networks are governed by a pro-\ncedural controller which incorporates systematic do-\nmain knowledge and procedural algorithms to guide\nrecognition.\nW e employ an approach wherein an image is pro-\ncessed over time by a spatiotemporal connectionist\nnetwork. The scheme offers several attractive fea-\ntures including shift-invariance and retention of lo-\ncal spatial relationships along the dimension being\ntemporalized, a reduction in the number of free pa-\nrameters, and the ability to process arbitrarily long\nimages.\nRecognition results on a set of real-world isolated\nZIP code digits are comparable to the best reported\nto date, with a 9 6 . 0 % recognition rate and a rate of\n9 9 . 0 % w h e n 9.5% of the images are rejected.", "language": "eng", "license": { "name": "", "short_name": "", "text": null, "url": "" }, "keywords": [], "section": "Submitted Presentations", "is_remote": true, "remote_url": "https://escholarship.org/uc/item/2zn3s20d", "frozenauthors": [ { "first_name": "Thomas", "middle_name": "", "last_name": "Fontaine", "name_suffix": "", "institution": "University of Pennsylvania", "department": "" }, { "first_name": "Lokendra", "middle_name": "", "last_name": "Shastri", "name_suffix": "", "institution": "University of Pennsylvania", "department": "" } ], "date_submitted": null, "date_accepted": null, "date_published": "1993-01-01T18:00:00Z", "render_galley": null, "galleys": [ { "label": "PDF", "type": "pdf", "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/31690/galley/22758/download/" } ] }