Image Text Filtering Using Pixel Matrix Segmentation
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Solution Overview
Problem
Existing electronic messaging systems fail to effectively filter out unwanted data embedded in images, as spam filters often miss text-based content within images, leading to increasing spam message volumes across various media platforms.
Innovation Solution
A system and method utilizing a matrix to identify and determine unwanted data within images by parsing pixels and assigning values to represent characters or backgrounds, allowing for the identification and filtering of unwanted text, which can include unsolicited messages.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional spam filters are used to filter electronic messages, then filtering capability is provided, but text embedded in images escapes through filters
Solution Approach 1:
The image is segmented into a matrix of pixels, where each pixel is independently analyzed to determine whether it represents text or background. This segmentation allows the system to process image content at a granular level, enabling detection of text embedded in images that would otherwise escape traditional filters.
Solution Approach 2:
A matrix serves as an intermediary representation between the image data and the filtering logic. The matrix translates visual pixel data into a structured format that can be processed by text analysis algorithms, enabling the system to identify unwanted text content within images.
2Measurement precision
If text within images is analyzed using pixel matrices, then detection accuracy improves, but processing complexity increases
Solution Approach 1:
By dividing the image into a matrix of pixels, the system simplifies the complex task of text detection into smaller, manageable units. Each pixel can be independently evaluated, making the overall process more computationally efficient while maintaining high detection precision.
Solution Approach 2:
The system creates a simplified matrix representation (copy) of the image data that captures essential text information while reducing the complexity of processing. This matrix serves as an intermediate representation that preserves text characteristics without requiring analysis of the entire original image at full resolution.
Data Source
AI summary
A system, method, and computer program product are provided for determining whether text within an image includes unwanted data, utilizing a matrix. In operation, a matrix corresponding to an image is generated. Additionally, text within the image is identified utilizing the matrix. Furthermore, it is determined whether the text includes unwanted data.