Mobile Terminal Phone Number OCR Recognition and Format Validation
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Solution Overview
Problem
Current mobile terminal technologies require manual and time-consuming input of phone numbers, often leading to errors and inefficiencies, especially when dealing with multiple contacts, and different formats across devices complicate the importation process.
Innovation Solution
A method that involves acquiring a picture of a phone number, automatically processing it to isolate the number, recognizing the editable character strings, and determining if they match the standard format of the mobile terminal, allowing for rapid and accurate display and saving of the phone number in the correct format.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If phone numbers are input manually one by one, then the phone number can be saved, but it takes several minutes to input and check, leading to low work efficiency
Solution Approach 1:
The patent uses optical character recognition (OCR) technology to copy phone numbers from images directly into the mobile terminal's contact book. Instead of manual typing, the system captures an image containing phone number information, automatically recognizes and extracts the numeric data, and imports it into the address book, dramatically reducing input time and improving productivity
Solution Approach 2:
The patent replaces the mechanical manual input process with automated image processing and optical recognition systems. The mobile terminal uses camera functionality to capture images and OCR algorithms to automatically convert visual phone number data into editable text format, eliminating the need for manual keyboard input and significantly accelerating the contact saving process
2Reliability
If phone numbers are input manually one by one, then the phone number can be saved, but it is easier to make mistakes
Solution Approach 1:
By copying phone numbers directly from images through OCR recognition, the system eliminates manual transcription errors. The automatic recognition process accurately extracts numeric characters from the image, ensuring high fidelity in data transfer and reducing mistakes while maintaining operational simplicity through automated processing
Solution Approach 2:
The system incorporates format validation that checks whether the recognized character strings conform to standard phone number formats. This feedback mechanism verifies the accuracy of recognized data before saving, automatically detecting and flagging incorrect formats to prevent erroneous data entry while keeping the operation simple for the user
3Adaptability or versatility
If text format phone numbers are converted to another format for import, then the phone number can be imported, but different mobile terminals have different formats making it inconvenient
Solution Approach 1:
The patent employs a universal OCR recognition approach that can extract phone number data from images regardless of the specific mobile terminal device. The system recognizes standard numeric character formats that are universally compatible across different platforms, eliminating the need for device-specific format conversions and simplifying the import process while maintaining broad adaptability
4Ease of operation
If phone numbers are copied and pasted from white paper or notebook, then the phone number can be transferred, but the user cannot process the phone number by copying and pasting
Solution Approach 1:
The patent extends copying capability to physical media by using the mobile terminal's camera to capture images of phone numbers written on white paper or notebooks. The OCR system then automatically recognizes and extracts the numeric data from the captured image, enabling digital transfer and further processing of previously non-digital information while maintaining ease of operation and improving productivity
Data Source
AI summary
A method for inputting and processing phone number is provided. The method includes: taking or storing a picture P1 including a phone number; obtaining a picture P2 including only the phone number by automatically processing the picture P1 and saving the picture P2; obtaining editable character strings of the phone number in the picture P2 by automatically recognizing the phone number in the picture P2; determining whether a format of the editable character strings of the phone number in the picture P2 is consistent with a standard format of the contact information of the mobile terminal; when consistent, the phone number in the picture P2 is displayed in the dialing interface for dialing or saving; and when not consistent, the phone number in the picture P2 is displayed in a modifying interface for correcting.