7. A method for acquiring personal information, the method comprising: acquiring a business card image wherein the acquiring of the business card image comprises photographing the business card using a built in camera of a cellular telephone; extracting text image segments including an ambiguous text image segment from the business card image; applying optical character recognition (OCR) to the text image segments including the ambiguous text image segment to generate textual content candidates for the text image segments including two or more textual content candidates for the ambiguous text image segment; querying at least one database respective to each of the textual content candidates; assigning scores to the two or more textual content candidates generated by the OCR for the ambiguous text image segment by: computing a score for each of the two or more textual content candidates generated by the OCR for the ambiguous text image segment based on results of database queries respective to that textual content candidate; and performing a global adjustment of the scores of the two or more textual content candidates generated by the OCR for the ambiguous text image segment based on results of database queries respective to textual content candidates generated by the OCR for text image segments other than the ambiguous text image segment; selecting a most likely one of the two or more textual content candidates generated by the OCR for the ambiguous text image segment based at least on the assigned scores; wherein the extracting, applying, querying, assigning, and selecting are performed by a processor.
7. A method for acquiring personal information, the method comprising: acquiring a business card image wherein the acquiring of the business card image comprises photographing the business card using a built in camera of a cellular telephone; extracting text image segments including an ambiguous text image segment from the business card image; applying optical character recognition (OCR) to the text image segments including the ambiguous text image segment to generate textual content candidates for the text image segments including two or more textual content candidates for the ambiguous text image segment; querying at least one database respective to each of the textual content candidates; assigning scores to the two or more textual content candidates generated by the OCR for the ambiguous text image segment by: computing a score for each of the two or more textual content candidates generated by the OCR for the ambiguous text image segment based on results of database queries respective to that textual content candidate; and performing a global adjustment of the scores of the two or more textual content candidates generated by the OCR for the ambiguous text image segment based on results of database queries respective to textual content candidates generated by the OCR for text image segments other than the ambiguous text image segment; selecting a most likely one of the two or more textual content candidates generated by the OCR for the ambiguous text image segment based at least on the assigned scores; wherein the extracting, applying, querying, assigning, and selecting are performed by a processor. 9. The method as set forth in claim 7 , further comprising: extracting a logo image segment from the business card image; and querying at least one image database respective to the logo image segment; the global adjustment being further based on records returned by the querying of the at least one image database respective to the logo image segment.