[특허]Methods and systems for performing handwriting recognition from raw graphical image data

Methods and systems for performing handwriting recognition from raw graphical image data 원문보기

IPC분류정보
국가/구분	United States(US) Patent 등록
국제특허분류(IPC7판)	G06K-009/00
출원번호	US-0290623 (1994-08-15)
발명자 / 주소	Brown Michael K. (North Plainfield NJ) Glinski Stephen C. (Edison NJ) Hu Jianying (Hoboken NJ) Turin William (East Brunswick NJ)
출원인 / 주소	Lucent Technologies Inc. (Murray Hill NJ 02)
인용정보	피인용 횟수 : 62 인용 특허 : 0

초록 ▼

Methods and systems for performing handwriting recognition which include, in part, application of stochastic modeling techniques in conjunction with language modeling. Handwriting recognition is performed on a received data set, which is representative of a handwriting sample comprised of one or more symbols. Recognition is performed by representing the data set as a sequence of features and then processing the features utilizing stochastic modeling in conjunction with an evolutional grammer for performing stroke identification, to identify the handwriting sample.

대표청구항 ▼

A method for performing handwriting recognition on a received data set, said received data set comprising data points representative of a handwriting sample, said method comprising the steps of: preprocessing said data points of said data set and generating a set of resampled data points, said resampled data points being substantially equidistantly spaced along said handwriting sample, said preprocessing step further comprising the step of preprocessing said data points of said data set to reduce signal abnormalities of said data set; said preprocessing step further including the step of filtering said data set to remove extraneous noise, wherein said filtering step further includes the steps of: identifying cusps within said data set, said identifying cusps step further including the steps of: constructing a focus region, said focus region including data points in the data set in sequence starting from a starting focus point to an ending focus point, said starting focus point corresponding to the first data point in the data set, said ending focus data point being at least two data points in sequence from said starting focus point; determining linear distances to the starting focus point and the ending focus point for each said data point in the focus region; identifying a data point in the focus region as a potential cusp point if the magnitude of either of the starting or the ending focus point linear distances exceeds the linear distance between the starting and the ending focus point; determining, for each of the potential cusp points, the smaller of the linear distance from the potential cusp data point to the starting focus point and the linear distance from the potential cusp point to the ending focus point; determining whether the maximum of the smaller linear distances for all the potential cusp points exceeds a threshold value; and, storing the data point corresponding to the maximum as a cusp point; and screening said extraneous noise from said data set utilizing a curve approximating technique, said curve approximating technique treating each identified cusp as a boundary point, said preprocessing step further including the step of normalizing said data set to reduce the geometric variance in said handwriting sample thereby causing said data set to lie within a prescribed range; computing a sequence of features from said resampled data points; comparing each feature to stochastic recognition models to obtain feature scores, said stochastic recognition models comprising a plurality of probability distributions; and propagating said feature scores in sequence through an evolutional grammar network for obtaining cumulative hypothesis scores using a stochastic recognition algorithm.

이 특허를 인용한 특허 (62)

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Di Fabbrizio, Giuseppe; Lewis, Charles Alfred, System and dialog manager developed using modular spoken-dialog components.
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Di Fabbrizio, Giuseppe; Lewis, Charles Alfred, System and dialog manager developed using modular spoken-dialog components.
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A	생활필수품
A62	인명구조; 소방(사다리 E06C)
A62B	인명구조용의 기구, 장치 또는 방법(특히 의료용에 사용되는 밸브 A61M 39/00; 특히 물에서 쓰이는 인명구조 장치 또는 방법 B63C 9/00; 잠수장비 B63C 11/00; 특히 항공기에 쓰는 것, 예. 낙하산, 투출좌석 B64D; 특히 광산에서 쓰이는 구조장치 E21F 11/00)
A62B-1/08	.. 윈치 또는 풀리에 제동기구가 있는 것

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연합인증

Methods and systems for performing handwriting recognition from raw graphical image data 원문보기

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Methods and systems for performing handwriting recognition from raw graphical image data 원문보기

초록 ▼

대표청구항 ▼

연구과제 타임라인

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