Siemens Corporate Research, Inc.

Jenn-Kwei Tyan

Ming Fang

Claus Neubauer

A system and method for object inspection includes an object modeler; an iterative object segmentor in signal communication with the object modeler for receiving an input image and model parameters and producing a segmented image; a moment transformer in signal communication with the iterative object segmentor for receiving an input image, model parameters and a segmented image and producing estimates of object translation, rotation and scaling; an edge detector and interpolator in signal communication with the moment transformer for receiving an input image, model parameters and estimates and producing a set of line edges; and an iterative optimizer in signal communication with the edge detector and interpolator for receiving an input image, model parameters, estimates and line edges and producing refined estimates of object translation, rotation and scaling.

Model-based localization and measurement of miniature surface mount components

A system and method for electronic archival of paper-based technical drawings includes a system having a processor, a form learning unit in signal communication with the processor for learning the form of a model drawing image, a form localization unit in signal communication with the processor for localizing the form of an input drawing image, an optical character recognition unit in signal communication with the processor for optically recognizing identification text of the input drawing image, and a result verification unit in signal communication with the processor for verifying the results of the recognized identification text of the input drawing image; and further includes a method for providing a model drawing image, learning the form of the provided model drawing image, receiving an input drawing image, localizing the form of the input drawing image, optically recognizing identification text of the input drawing image, verifying the results of the recognized identification text of the input drawing image, and storing the input drawing image and the corresponding verified identification text into a drawing database.

Automatic document reading system for technical drawings

An intelligent camera system and method for recognizing license plates, in accordance with the invention, includes a camera adapted to independently capture a license plate image and recognize the license plate image. The camera includes a processor for managing image data and executing a license plate recognition program device. The license plate recognition program device includes a program for detecting orientation, position, illumination conditions and blurring of the image and accounting for the orientations, position, illumination conditions and blurring of the image to obtain a baseline image of the license plate. A segmenting program for segmenting characters depicted in the baseline image by employing a projection along a horizontal axis of the baseline image to identify positions of the characters. A statistical classifier is adapted for classifying the characters. The classifier recognizes the characters and returns a confidence score based on the probability of properly identifying each character. A memory is included for storing the license plate recognition program and the license plate images taken by an image capture device of the camera.

License plate recognition with an intelligent camera

A method for segmenting and recognizing license plates, in accordance with the present invention includes capturing an image of a license plate and preprocessing the image to prepare the image for segmentation and recognition. Forward splitting regions of the license plate image into suspected characters regions, the suspected character regions are recognized in the license plate image and a confidence score is provided based on a probability of a correct match. If the suspected characters have a confidence score below a threshold value, backward merging is employed which merges adjacent suspected character regions. The backward merged suspected character regions in the license plate are recognized. If the backward merged suspected character regions have a confidence score below the threshold value, the backward merging and recognizing steps are repeated to improve the confidence score.

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Princeton, NJ, United States of America

Jenn-Kwei Tyan