Antai Peng

Title: Antai Peng: Innovator in Image Recognition and Document Analysis

Introduction

Antai Peng is a notable inventor based in Irvington, NJ (US). He has made significant contributions to the fields of image recognition and document analysis, holding a total of 2 patents. His innovative work has paved the way for advancements in automated systems that enhance efficiency and accuracy.

Latest Patents

Antai Peng's latest patents include a "Price determination system and method using digitized gray-scale image." This invention focuses on an item recognition system that automates the entry of items too small to carry readable bar code labels. The system utilizes a camera to digitize images, producing both digitized and gray-scale images. A binary image is then generated from the gray-scale image, allowing the computer to identify the item and retrieve its price from a price-lookup file.

Another significant patent is the "Knowledge-based document analysis system." This system identifies and decomposes both constrained and unconstrained images of documents. It extracts low-level features from bitonal and grayscale images, which are then used for document classification. For constrained documents, the system sorts through various models to determine the document type and extracts relevant fields for character recognition. For unconstrained documents, it employs a blackboard architecture that includes a knowledge database to identify and locate relevant fields.

Career Highlights

Antai Peng is currently employed at NCR Corporation, where he continues to develop innovative solutions in his field. His work has been instrumental in advancing technologies that streamline processes and improve accuracy in various applications.

Collaborations

Antai has collaborated with notable colleagues, including Ralph N Crabtree and Calvin L Espy. Their combined expertise has contributed to the success of various projects and innovations.

Conclusion

Antai Peng's contributions to image recognition and document analysis demonstrate his commitment to innovation and technology. His patents reflect a deep understanding of complex systems and a drive to enhance automation in everyday tasks.