Apple Inc.

Ueli Meier

Ryan S Dixon

Jerome Rene Bellegarda

Karl Martin Groethe

Karan Misra

Jannes G Dolfing

Mei-Qun Xia

Giulia Maria Pagallo

Methods, systems, and computer-readable media related to a technique for providing handwriting input functionality on a user device. A handwriting recognition module is trained to have a repertoire comprising multiple non-overlapping scripts and capable of recognizing tens of thousands of characters using a single handwriting recognition model. The handwriting input module provides real-time, stroke-order and stroke-direction independent handwriting recognition for multi-character handwriting input. In particular, real-time, stroke-order and stroke-direction independent handwriting recognition is provided for multi-character, or sentence level Chinese handwriting recognition. User interfaces for providing the handwriting input functionality are also disclosed.

Managing real-time handwriting recognition

In some embodiments, a device performs character recognition based on spatial and temporal components of touch input detected on a touch-sensitive surface. In some embodiments, a device provides feedback about handwritten input and its recognition by the device. In some embodiments, a device presents a user interface for changing previously-inputted characters.

Character recognition on a computing device

Differing embodiments of this disclosure may employ one or all of the several techniques described herein to perform credit card recognition using electronic devices with integrated cameras. According to some embodiments, the credit card recognition process may comprise: obtaining a first representation of a first image, wherein the first representation comprises a first plurality of pixels; identifying a first credit card region within the first representation; extracting a first plurality of sub-regions from within the identified first credit card region, wherein a first sub-region comprises a credit card number, wherein a second sub-region comprises an expiration date, and wherein a third sub-region comprises a card holder name; generating a predicted character sequence for the first, second, and third sub-regions; and validating the predicted character sequences for at least the first, second, and third sub-regions using various credit card-related heuristics, e.g., expected character sequence length, expected character sequence format, and checksums.

Credit card auto-fill

Growing community of inventors

Santa Cruz, CA, United States of America

Ueli Meier