Method for omnidirectional processing of 2D images including recognizable characters

An optical character recognition optical reader for recognizing recognizable characters in a captured image, said reader comprising:

• an imaging assembly including an image sensor for generating image signals;
• a memory having stored character reference data stored therein;
• control circuit in communication with said memory and said image sensor, said control circuit being operative for capturing image data into said memory, said control circuit further being operative for:
• searching for pixel groupings utilizing said image data;
• determining edge pixels of said pixel groupings;
• based on said determining, identifying a pair of similarly sized pixel groupings;
• utilizing a result of said identifying, determining a location for searching for a character pixel grouping;
• developing shape characterizing data for said character pixel grouping utilizing edge pixels of said character pixel grouping;
• and
• recognizing a character represented by said character pixel grouping.

An optical character recognition optical reader for recognizing recognizable characters in a captured image, said reader comprising:

• an imaging assembly including an image sensor for generating image signals;
• memory circuit having stored character reference data stored therein;
• control circuit in communication with said memory circuit and said image sensor, said control circuit being operative for capturing grey scale image data into said memory circuit, said control circuit being programmed to include
• binarizing circuit for binarizing said grey scale image data into one bit binary image data, wherein dark pixels are represented by binary “0” values and light pixels are represented by binary “1” values;
• starburst searching circuit for searching for dark pixel groupings in said binary image data starting from a starbust center pixel and continuing said search in a pattern extending radially outwardly in multiple directions for said starburst center pixel;
• edge length determining circuit responsive to said starburst searching circuit for subjecting pixel groupings located by said starburst searching circuit to an edge length edge crawl process for determining a length of edges, and pixel positions of edge pixels of said pixel groupings;
• size monitoring circuit responsive to said edge length determining circuit for identifying a pair of substantially similarly sized pixel groupings of sufficient edge length to represent a recognizable character in said image data;
• rail launching circuit responsive to said size monitoring circuit for launching alignment rails parallel to a centerline intersecting said pair of substantially similarly sized pixel groupings;
• centerline search circuit responsive to said rail launch circuit for searching for dark pixels along said centerline;
• shape-characterizing circuit responsive to said centerline search circuit for developing shape-characterizing data corresponding to at least one character pixel grouping located by said centerline search circuit, said shape-characterizing circuit including shape orientation adjusting circuit for adjusting an orientation representation of said shape-characterizing data so that said shape-characterizing data can be compared to said stored reference data;
• comparison circuit for comparing said shape-characterizing data, as adjusted by said orientation adjusting circuit to said stored reference character data;
• and
• recognition circuit responsive to said comparison circuit for recognizing a character represented by said at least one character pixel grouping on a basis of which data of said stored reference data best fits said shape characterizing data.

An optical character recognition optical reader for recognizing recognizable characters in a captured image, said reader comprising:

• an imaging assembly including an image sensor for generating image signals;
• memory means having stored character reference data stored therein;
• control means in communication with said memory means and said image sensor, said control means being operative for capturing grey scale image data into said memory means, said control means being programmed to include
• binarizing means for binarizing said grey scale image data into one bit binary image data, wherein dark pixels are represented by binary “0” values and light pixels are represented by binary “1” values;
• starburst searching means for searching for dark pixel groupings in said binary image data starting from a starburst center pixel and continuing said search in a pattern extending radially outwardly in multiple directions for said starburst center pixel;
• edge length determining means responsive to said starburst searching means for subjecting pixel groupings located by said starburst searching means to an edge length edge crawl process for determining a length of edges, and pixel positions of edge pixels of said pixel groupings;
• size monitoring means responsive to said edge length determining means for identifying a pair of substantially similarly sized pixel groupings of sufficient edge length to represent a recognizable character in said image data;
• rail launching means responsive to said size monitoring means for launching alignment rails parallel to a centerline intersecting said pair of substantially similarly sized pixel groupings;
• centerline search means responsive to said rail launch means for searching for dark pixels along said centerline;
• shape-characterizing means responsive to said centerline search means for developing shape-characterizing data corresponding to at least one character pixel grouping located by said centerline search means, said shape-characterizing means including shape orientation adjusting means for adjusting an orientation representation of said developed shape-characterizing data so that said shape-characterizing data can be compared to said stored reference data;
• comparison means for comparing said shape-characterizing data, as adjusted by said shape orientation adjusting means to said stored reference character data;
• and
• recognition means responsive to said comparison means for recognizing a character represented by said at least one character pixel grouping on a basis of which data of said stored reference data best fits said shape characterizing data.