OBCR stands for Optical Character and Barcode Recognition It is a technology that combines optical character recognition (OCR) with barcode recognition to read and interpret text and barcodes from scanned documents or images. Here’s a breakdown of how OBCR works:
Document Scanning A document or image containing both text and barcodes is scanned using a high-resolution scanner or camera.
Image Capture The scanned image is captured and digitized for processing.
Text Extraction OCR technology analyzes the scanned image to detect and recognize printed or handwritten text. It uses pattern recognition or machine learning algorithms to convert images of text into machine-encoded text.
Character Analysis The OCR software processes the shapes of characters, matches them with known fonts or patterns, and translates them into digital text.
Barcode Detection The OBCR system identifies and locates barcodes within the scanned image. This involves detecting the barcode patterns and orientation.
Barcode Decoding Once detected, the system decodes the barcode using its structure (such as the sequence of bars and spaces) to extract the encoded information.
Text and Barcode Output The extracted text and decoded barcode data are integrated into a cohesive output. This may involve storing the data in a database, generating reports, or further processing as required.
Validation and Correction Some OBCR systems include validation and correction processes to ensure accuracy by checking the recognized text and barcode data against predefined rules or databases.
Document Management Automating data entry from forms, invoices, and other documents.
Inventory and Tracking Reading barcodes on products for inventory management.
Data Extraction Extracting text and codes from scanned documents for further processing.
OBCR combines the capabilities of OCR and barcode recognition to enhance data capture efficiency and accuracy, particularly in environments where both text and barcodes need to be processed simultaneously.
