There are several document types out there both for full-page OCR and for data capture that require special attention and configuration. For Full-Page OCR ( extraction of all the text on a document ) newspapers is one of these and poses some interesting challenges. When considering the OCR of these types of documents you need to change your opinion on the document itself.
When you open up a page of any newspapers you likely are considering the document as a whole, while your brain is picking apart the pieces. This is the key to OCRing news papers. The biggest challenge facing companies wanting to convert newspapers to text using OCR is their layout. Often times though the font on newspapers is usually pretty small it can be scanned at a quality that the raw OCR read is very high. Newspapers have their own structure; they have page headings, section headings, article titles, article sub-titles, by lines, articles, and then footers. Not only that but articles can span pages.
When converting a newspaper the most effort should be spent on a process of proper zoning. Because document analysis tools built into OCR engines are tuned to the average document (newspapers are not ) they will accurately find columns and paragraphs, but the key is to find the titles by lines and be able to separate articles. Most large service bureaus processing newspapers at high volumes have a manual zoning process and then a single read of OCR which produces very accurate results all because the zoning was done properly. Others have devised a two pass OCR system that essentially zones documents twice narrowing the focus on each step and increasing zoning accuracy thus OCR accuracy. This solves the read accuracy but not page continuations.
Page continuations are handled most often post OCR with a business rule applied to the OCR result. Meta-data from the OCR results should indicate on which page the text came from, thus by finding the words “continues on” at the bottom of any given article you can concatenate to it their continuation for final presentation. As apart of this rule is an article count and an article portion count, by the end you should have 0 portions and only articles. If you have a low confidence on the merging of articles, you can simply merge the result, review the remaining portions and your accuracy will then increase.
OCRing newspapers has its challenges, not to mention the difficulty in scanning them, but it’s possible and can be very accurate if in the right state of mind, and using the right approaches.
Chris Riley – Sr. Solutions Architect
Ilya Evdokimov is a long-term practitioner and expert in leading Optical Character Recognition (OCR), Data Capture and Document Processing techniques, technologies and solutions. With over 15 years of experience spanning enterprise software implementations, mobile applications development, cloud-based systems integration and desktop-level automation, Ilya Evdokimov uses through industry knowledge and experience to achieve high efficiency and workflow optimization in most challenging paper-dependent and digital image capture environments.