Communication Intelligence Corp.

Sri International

Stanford Research Institute

Communications Intelligence Corporation

John S Ostrem

Hewitt D Crane

Norman A Austin

Philip S Green

Daniel E Wolf

Todd K Whitehurst

Peter K Edberg

A method is provided for reconstructing data generated on a digitizer tablet based on the dynamics of the data generation. The digitizer tablet samples the position of the writing pen, continuously transmitting data to a computer in the form of x and y coordinates plus an indicator of whether or not the pen is touching the surface of the tablet. After preprocessing, the data is reconstructed based on the dynamics of the data's creation. The values of the dynamic reconstruction are created by accumulating increments that are some function of the original data. To enhance the dynamics a nonlinear function is required.

Method for dynamic reconstruction of handwritten data

An ultrasonic imaging system and method are shown which includes a transducer (10) for pulse insonification of an object (12) and for receiving echo signals from within the object. Echo signals are converted to electrical signals at the transducer (10) and the electrical signals are supplied to a signal processor (28). Processor (28) includes an envelope detector (38) and integrator (40) for integrating the detected output. Echo signals obtained from a first range zone (Z1) at the focal point (F) are processed by processor (28) and supplied to a hold circuit (50) to provide a reflection pixel signal value which is dependent upon reflectivity at the focal point. Echo signals obtained from a second range zone (Z2) opposite the focal point (F) also are processed by processor (28) and supplied to a hold circuit (52) to provide a transmission pixel signal value which is dependent upon attenuation of ultrasonic waves at the focal point (F). The reflection and transmission pixel signal values from hold circuits (50) and (52) are supplied as inputs to generator (60) for generation of combined image data for a combined image which is a function of both reflection and transmission image data. A combined image is displayed at display (64).

Combined reflection and transmssion untrasonic imaging method and

Processing of handwritten patterns, for example, inputting of complex characters, such as Kanji, into a word processor involves a balance between an algorithmic part and a disambiguation part. Application of routines uniformly during the algorithmic part deliberately results in confusion sets of characters which are subsequently differentiated during the disambiguation part. Balance between the two parts permits a flexibility to accommodate differences in writing styles, while application of routines customized to the established character patterns permits the unique solution necessary for accurate recognition of a character.

Process and apparatus involving pattern recognition

A method and system for recognizing complex patterns, such as Chinese characters (Kanji), which may employ detailed information about an element and specifically curvature characteristics. Selected elements or strokes are grouped into confusion groups. Strokes under examination are categorized and assigned either stroke identity labels or confusion group identity labels by a flexible comparison of distance metrics generated with reference to templates which represent general recognition criteria or groupings of specific strokes. Specific threshold criteria are applied to distance metrics.

Confusion grouping of strokes in pattern recognition method and system

A method and system for recognizing complex patterns, such as Chinese characters (or Kanji), identifies patterns by stroke recognition using detailed information about stroke shape and specifically curvature characteristics. Written strokes are categorized into different specific stroke types and are assigned stroke identity labels by comparison of distance metrics generated with reference to stroke templates, each template comprising information specifying position of a point and permissible deviation for each such point along a stroke. Deviation values may differ from point to point and from stroke type to stroke type. The data on the written stroke may be rotated or displaced relative to each stroke template to enhance the likelihood of stroke recognition. Limited information about stroke position relative to other strokes may be preserved and employed to resolve ambiguities among accumulations of stroke identity labels found to ambiguously indicate more than one pattern or character.

Complex pattern recognition method and system

A method for recognizing complex handwritten character set employs spatial position recognition in which characters of a first set are registered in a first region and characters of a second set are registered in a second region. The second region may be included within the first region. The invention is particularly useful for distinguishing Kanji from non-Kanji character sets in a data input system.

Method for distinguishing between complex character sets

A person, who is to have his identity verified, first writes his signature or any other appropriate group of characters or symbols several times with a special pen which produces signals representative of the writing forces in the plane of the paper and the writing pressure. From these a number of different parameters are derived. These parameters may be, for example, average value, energy, timing, number of zero crossings, etc. Average values and standard deviations are obtained for each of these parameters and these are stored as components of a template vector. In order to detect whether or not a later handwriting sample is authentic, a measure of the difference between the template vector and the later handwriting sample vector is calculated. The distinction between true signatures and forgeries is then made on the basis of this difference. If it is less than an appropriately selected value the signature is judged authentic while if it is above such value it is judged a forgery. The measure of difference may be in terms of RMS difference, for example, or say, average difference. Or, a signature may be deemed a forgery if any one component of the later written signature vector, or some combination of components, deviates beyond some threshold value.

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John S Ostrem