- Pessimal Print: A Reverse Turing Test Allison L. Coates
- Whole-Book Recognition using Mutual-Entropy-Driven Model Adaptation
- High-performance OCR preclassification trees Henry S. Baird & Colin L. Mallows
- Distinguishing Mathematics Notation from English Text using Computational Geometry
- Complex Image Recognition and Web Security Henry S. Baird1
- ANATOMY OF A VERSATILE PAGE READER Henry S. Baird
- Incorporating A Rich Linguistic Model into Whole-Book Recognition Pingping Xiu & Henry S. Baird
- Time and Space Optimization of Document Content Classifiers
- Document Content Extraction Using Automatically Discovered Features Sui-Yu Wang and Henry S. Baird and Chang An
- Computer Science & Engineering
- ScalingScaling--Up WholeUp Whole--Book RecognitionBook Recognition Pingping Xiu and Henry S. BairdPingping Xiu and Henry S. Baird
- Truthing for Pixel-Accurate Segmentation Michael A. Moll, Henry S. Baird & Chang An
- The Convergence of Iterated Classification Chang An and Henry S. Baird
- Fully automatic improvement of a recognition system for the textual contents of an entire book
- Document Content Inventory & Retrieval Michael A. Moll & Henry S. Baird
- Document Image Content Inventories Henry S. Baird, Michael A. Moll, Chang An, Matthew R. Casey
- Towards Versatile Document Analysis Systems Henry S. Baird and Matthew R. Casey
- ScatterType: A Legible but Hard-to-Segment CAPTCHA Henry S. Baird and Michael A. Moll and Sui-Yu Wang
- ScatterType: a Reading CAPTCHA Resistant to Segmentation Attack
- Implicit CAPTCHAs Henry S. Bairda and Jon L. Bentleyb
- Training on Severely Degraded Text-Line Images Prateek Sarkar
- A FAX Reader for the Blind Allen E. Milewski
- FAST APPROXIMATE NEAREST NEIGHBORS
- PROGRAMMABLE CONTEXTUAL ANALYSIS David J. Ittner
- Versatile Document Image Content Extraction Henry S. Baird, Michael A. Moll, Jean Nonnemaker, Matthew R. Casey, Don L. Delorenzo
- DATA STRUCTURES FOR PAGE READERS Henry S. Baird
- A Highly Legible CAPTCHA that Resists Segmentation Attacks
- Digital Libraries and Document Image Analysis Henry S. Baird
- Towards Whole-Book Recognition Pingping Xiu & Henry S. Baird
- Robust Document Image Understanding Technologies Henry Baird, Daniel Lopresti, Brian Davison, William Pottenger
- Bounded-Error Preclassification Trees Henry S. Baird
- Iterated Document Content Classification Chang An, Henry S. Baird and Pingping Xiu
- Segmentation-Based Retrieval of Document Images from Diverse Collections
- Recognition Technology Frontiers Henry S. Baird
- A Self-Correcting 100-Font Classifier HENRY S. BAIRD
- Using Synthetic Data Safely in Classification Jean Nonnemaker, Henry S. Baird
- Decoder Banks: Versatility, Automation, and High Accuracy
- CAPTCHA Challenge Tradeoffs: Familiarity of Strings versus Degradation of Images
- Scaling Up Whole-Book Recognition Pingping Xiu & Henry S. Baird
- BaffleText: a Human Interactive Proof Monica Chewa and Henry S. Bairdb
- Feature Selection Focused within Error Clusters Sui-Yu Wang and Henry S. Baird
- BACKGROUND STRUCTURE IN DOCUMENT IMAGES
- A 100-Font Classifier Henry S. Baird
- Document Recognition Without Strong Models Henry S. Baird
