zbar一个开源的C语言实现的条形码和二维码识别库，可以用在任何平台。
编译
下面给出gn的写法，其他的构建工具，例如ndk和cmake，拿去参考改改就好了。这里还包括了libiconv的编译。
# zbar project: https://github.com/ZBar/ZBar # libiconv project: https://ftp.gnu.org/pub/gnu/libiconv/libiconv-1.16.tar.gz # libiconv build: https://www.codeproject.com/Articles//How-to-Build-libiconv-with-Microsoft-Visual-Studio config("zbar_config") { include_dirs = [ "include", "zbar", "zbar/decoder", "libiconv/include", ] if (is_win) { cflags = [ "/wd4018", "/wd4245", "/wd4005", "/wd4706", "/wd4554", "/wd4090", "/wd4206", "/wd4146", "/wd4142", "/wd4310", "/wd4389", "/wd4295", "/wd4013", "/wd4189", ] } else { cflags = [ "-Wno-sign-compare", "-Wno-unused-variable", "-Wno-tautological-compare", "-Wno-unused-function", "-Wno-shift-op-parentheses", "-Wno-logical-not-parentheses", "-Wno-logical-op-parentheses", "-Wno-bitwise-op-parentheses", "-Wno-parentheses-equality", "-Wno-incompatible-pointer-types", "-Wno-implicit-function-declaration", "-Wno-int-conversion", "-Wno-unused-const-variable", ] } defines = [ ] } config("public_zbar_config") { include_dirs = [ "include", ] } static_library("libiconv") { sources = [ "libiconv/iconv.c", "libiconv/localcharset.c", "libiconv/relocatable.c", ] include_dirs = [ "libiconv", "libiconv/include", ] configs += [ ":zbar_config" ] } static_library("zbar") { sources = [ "zbar/jpeg.c", "zbar/img_scanner.c", "zbar/decoder.c", "zbar/image.c", "zbar/symbol.c", "zbar/convert.c", "zbar/config.c", "zbar/scanner.c", "zbar/error.c", "zbar/refcnt.c", "zbar/video.c", "zbar/video/null.c", "zbar/decoder/code128.c", "zbar/decoder/code39.c", "zbar/decoder/code93.c", "zbar/decoder/codabar.c", "zbar/decoder/databar.c", "zbar/decoder/ean.c", "zbar/decoder/i25.c", "zbar/decoder/qr_finder.c", "zbar/decoder/pdf417.c", "zbar/qrcode/bch15_5.c", "zbar/qrcode/binarize.c", "zbar/qrcode/isaac.c", "zbar/qrcode/qrdec.c", "zbar/qrcode/qrdectxt.c", "zbar/qrcode/rs.c", "zbar/qrcode/util.c", ] configs += [ ":zbar_config" ] public_configs = [ ":public_zbar_config" ] deps = [ ":libiconv", "//third_party:jpeg", ] if (is_win) { libs = [ "winmm.lib" ] defines = [ "WEBRTC_WIN", ] } } executable("scan_image") { sources = [ "examples/scan_image.c" ] configs += [ ":zbar_config" ] deps = [ ":zbar", "//third_party/libpng" ] } 使用
实际上不管什么类型的数据zbar都会把他转换为Y800类型的YUV数据，也就是只有Y值的YUV数据。所以不管我们要做相机的二维码识别还是做图片（BMP\JPG）的二维码识别最终都是要把数据转换为Y800类型。可以参考zbar的demo-scan_image.c。
我基于zbar实现了Android、iOS、Windows、Mac平台的摄像头和图片识别，都是基于此实现的，摄像头识别这块是跟平台相关的（采集），剩下的流程都是一样的。图片识别所有平台都是一样的。
其他功能
- zbar的识别率高低和二值化处理，图片处理有关
- 要实现移动端平台自动放大需要修改一下zbar提供更多的数据
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