Transaction document reader
Patent 5416308 Issued on May 16, 1995. Estimated Expiration Date: 
May 16, 2012. Estimated Expiration Date is calculated based on simple USPTO term provisions. It does not account for terminal disclaimers, term adjustments, failure to pay maintenance fees, or other factors which might affect the term of a patent.
May 16, 2012. Estimated Expiration Date is calculated based on simple USPTO term provisions. It does not account for terminal disclaimers, term adjustments, failure to pay maintenance fees, or other factors which might affect the term of a patent.Patent References 3164806 3852573 3864550 Character reading techniques Character reader Mark sense reader Pattern recognition apparatus and method Adaptive threshold optical reader Method and apparatus for reducing the gray scale resolution of a digitized image Recognition method and apparatus InventorsAssigneeApplicationNo. 751771 filed on 08/29/1991US Classes:235/454, Optical235/456, Multiple column code382/317Sensor control (e.g., OCR sheet controls copier or fax)ExaminersPrimary: Shepperd, John W.Attorney, Agent or FirmForeign Patent References
International ClassG06K 007/10AbstractA transaction document reader reads image data on a transaction document. The image data includes marking areas employed by a user to record marks and includes characters. A sensor senses, one row at a time, rows of image data as the document is transported across the sensor. Each row includes a number of pixel areas. The pixel areas of the rows being aligned in columns. The sensor generates output signals representative of the pixel areas. The output signals are transformed into bit signals representative of each pixel area. The bit signals are stored in image memory which is organized into rows and columns of bit signals corresponding to the rows and columns of the pixel areas of the image data. The marking areas are located in image memory. The marks are identified in the marking areas while additional rows of bit signals are being stored and while other marking areas are being located by probing the bit signals in image memory. A specific area within image memory representative of a single character is also located. A neural network is utilized to recognize the character within specific area.Other References
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