PeopleofSuperintelligence

Researcher

A. Lawrence Spitz

A. Lawrence Spitz developed methods for recognizing script and language in scanned documents, and his work also addressed document redaction and handwriting recognition. He co-authored a 1994 paper on language determination from scanned document images, patented a 1995 method for automatic character-script identification, and published on script and language recognition in 1997. The IAPR named him a Fellow in 2004 for his contributions to document recognition and service; in 2005, he co-authored a paper on information leakage through document redaction. In 2006, he served on the DIAL'06 program committee and was affiliated with DocRec Techs. in New Zealand; in 2008, he co-authored work on character-shape codes for offline handwritten word recognition.

Timeline

  1. 1994

    Language from scanned images

    He and Penelope Sibun co-author “Language Determination: Natural Language Processing from Scanned Document Images” for the Fourth Conference on Applied Natural Language Processing in 1994.

  2. 1995

    Automatic script determination

    In 1995, a patent names him as an inventor on an apparatus for automatic character-script determination in document images.

  3. 1997

    Script and language analysis

    He publishes “Determination of the Script and Language Content of Document Images” in 1997.

  4. 2004

    An IAPR fellowship

    The International Association for Pattern Recognition names him a Fellow in 2004 for contributions to document recognition and service to IAPR.

  5. 2005

    Information leakage through redaction

    With Daniel Lopresti, he co-authors “Information leakage through document redaction: attacks and countermeasures” in 2005.

  6. 2006–2008

    DIAL'06 program committee

    He serves on the DIAL'06 program committee in 2006 and is affiliated with DocRec Techs. in New Zealand. In 2008, he co-authors a paper with Roman Bertolami, Christoph Gutmann, and Horst Bunke titled “Shape Code Based Lexicon Reduction for Offline Handwritten Word Recognition.”

A language model matched the links in this timeline to people, organizations and papers (provisional, model-judged).

  1. Google had the most people shaping AI every year from 2014 to 2025Our estimates of which organizations employed the most people shaping AI from 1962 to 2025, with a year-by-year chart.
  2. The United States employs an estimated 53% of people in our data with a known employment countryOur estimates of where AI careers are concentrated now and how countries’ shares of dated positions changed over time.
  3. 47% of living people in our data with known birth and employment countries work outside their birth countryOur estimate of cross-border careers in AI, from country of birth and the country of each current organization.
  4. More people shaping AI studied at Massachusetts Institute of Technology than at any other institutionOur estimates of where the people shaping AI studied and where their careers led, from education records in cited biographies.

Colleagues

People named in this biography, and people with dated positions at the same organization in the same years.

Sources and credits

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  1. Language Determination: Natural Language Processing from Scanned Document Images - ACL Anthology aclanthology.org. Checked 18 October 2026.
  2. US5444797A - Method and apparatus for automatic character script determination - Google Patents patents.google.com. Checked 18 October 2026.
  3. A. Lawrence Spitz csauthors.net. Checked 18 October 2026.
  4. Alphabetical List of IAPR Fellows – International Association for Pattern Recognition iapr.org. Checked 18 October 2026.
  5. DIAL'06 International Conference on Document Image Analysis for Libraries dial2006.projet.liris.cnrs.fr. Checked 18 October 2026.