کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
533075 870056 2017 14 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Recognizing arbitrarily connected and superimposed handwritten numerals in intangible writing interfaces
ترجمه فارسی عنوان
شناخت اعداد دست نوشته خودسرانه متصل شده و سوار در رابط نوشتن نامشهود
کلمات کلیدی
رابط نوشتن ناملموس؛ تشخیص حرکت انگشت. پویا زمان تاب؛ مسیر نمودار یافتن؛ لکه بینی های کلیدی اعداد
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر چشم انداز کامپیوتر و تشخیص الگو
چکیده انگلیسی


• An intangible writing interface recognizes mid-air gesture trajectories of numerals.
• A key numeral spotting method locates any specific numeral within a gesture trajectory.
• A recognition by concatenation method recognizes connected numerals without using lexical dependency.
• The method achieves good performance without extracting sophisticated character features.

An intangible writing interface is a new input mechanism that allows users to write in the air with hands or fingers. Since all written characters are connected in one writing trajectory, each writing trajectory is referred to as a one-stroke finger gesture. Because of no visual aid to indicate the effective writing area in the air, users often write conservatively the texts in a restrictive area to avoid invalid motion sensing. Consequently, each handwritten character may not only arbitrarily connect to others, but also highly superimpose over others. Aiming at addressing the challenging issue to segment and recognize the arbitrarily connected and superimposed characters in one-stroke finger gestures, this paper proposes a solution comprising (1) a simple but effective method to spot any numeral of interest, called a key numeral, from arbitrary one-stroke finger gestures and (2) a novel method to simultaneously accomplish the segmentation and recognition of all individual numerals in one-stroke finger gestures by a graph-based path finding algorithm. The evaluated performance shows that the proposed solution achieves satisfactory recognition accuracy even though no sophisticated matching features and context-dependent information are employed.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Pattern Recognition - Volume 61, January 2017, Pages 15–28
نویسندگان
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